SlideShare ist ein Scribd-Unternehmen logo
1 von 5
Downloaden Sie, um offline zu lesen
Published in Fuzzy Sets and Systems, 1996, Vol 80, Iss 3, P 377-                            Archived with Dspace@nitr
381 author email abehera@nitrkl.ac.in                                                       http://dspace.nitrkl.ac.in/dspace


                                  On fuzzy compact-open topology
                                                  S. Dang a, A. Behera b'*
                               Department of Mathematics, GovernmentCollege, Rourkela-769 004, India
                           bDepartment of Mathematics, Regional Engineering College, Rourkela-769 008, India
                                                        Received October 1994


     Abstract

       The concept of fuzzy compact-open topology is introduced and some characterizations of this topology are discussed.

     Keywords: Fuzzy locally compact Hausdorff space; Fuzzy product topology; Fuzzy compact-open topology; Fuzzy
     homeomorphism; Evaluation map; Exponential map.




     1. Introduction                                                   2. Preliminaries

        Ever since the introduction of fuzzy set by Zadeh                 The concepts of fuzzy topologies are standard by
     [13] and fuzzy topological space by Chang [2],                    now and can be referred from [2, 8, 13]. For the
     several authors have tried successfully to generalize             definitions and various results of fuzzy topology,
     numerous pivot concepts of general topology to the                fuzzy continuity, fuzzy open map, fuzzy compact-
     fuzzy setting. The concept of compact-open topol-                 ness we refer to [2]. For the definitions of fuzzy
     ogy has a vital role in defining function spaces                  point and fuzzy neighborhood of a fuzzy point we
     in general topology. We intend to introduce the                   refer to [8].
     concept of fuzzy compact-open topology and con-                      So far as the notation is concerned, we denote
     tribute some theories and results relating to this                fuzzy sets by letters such as A, B, C, U, V, W, etc. I x
     concept. The concepts of fuzzy local compactness                  denotes the set of all fuzzy sets on a nonempty set
     and fuzzy product topology play a vital role in the               X. 0x and lx denote, respectively, the constant
     theory that we have developed in this paper. We                   fuzzy sets taking the values 0 and 1 on X. A, A t, A'
     have used the fuzzy locally compactness notion due                will denote the fuzzy closure, fuzzy interior and the
     to Wong [11], Christoph [3] and fuzzy product                     fuzzy complement of A e I x, respectively.
     topology due to Wong [12].                                           We need the following definitions and results for
                                                                       our subsequent use.

                                                                       Theorem 2.1 (Ganguly and Saha [5]). A mapping
                                                                      f : X ~ Y from antis X to antis Y is said to be f u z z y
       * Corresponding author.                                         continuous at a f u z z y point xt of X if and only if for
every fuzzy neiohborhood V of f(xt), there exists         a fuzzy open set U such that xt e U and U is fuzzy
a fuzzy neighborhood U of x, such t h a t f ( U ) <~ V.   compact. Since X is fuzzy Hausdorff, by Theorem
   f is said to be fuzzy continuous on X if it is so at   4.13 of [6], U is fuzzy closed; thus U = 0. Consider
each fuzzy point of X.                                    a fuzzy point Yr ~ (Ix - U). Since X is fuzzy Haus-
                                                          dorff, by Definition 2.3 there exist open sets C and
Definition 2.2. (Chang [2]). A mapping f: X ~ Y           D such that xt ~ C and y, ~ D and C A D = 0x. Let
is said to be a fuzzy homeomorphism iffis bijective,      V = C A U. Hence V~<U implies I T ~ < u = u .
fuzzy continuous and fuzzy open.                          Since 17 is f-closed and U is fuzzy compact, by
                                                          Theorem 4.2 of [6], it follows that 17 is fuzzy com-
Definition 2.3 (Srivastava and Srivastava [10]). An       pact. Thus x~ e 17 ~< U and 0 is fuzzy compact. The
fts (X, T) is called a fuzzy Hausdorff space or T2-       converse follows from Proposition 2.6(b). []
space if for any pair of distinct fuzzy points (i.e.,
fuzzy points with distinct supports) xt and y,, there     Definition 2.8 (Katsara and Lin [7]). The product
exist fuzzy open sets U and V such that xt ~ U,           of two fuzzy sets A and B in an fts (X, T) is
y~Vand U A V=Ox.                                          defined as (A × B)(x, y ) = min(A(x), B(y)) for all
                                                          (x, y) e X × Y.
Definition 2.4 (Wong [11]). An fts (X, T) is said to
be fuzzy locally compact if and only if for every         Definition 2.9 (Azad [1]). I f f / : X i ~ Yi, i = 1,2,
fuzzy point xt in X there exists a fuzzy open set         then fl xf2:X1 × X 2 ----r Y1 × Y2 is defined by
U e T such that xt ~ U and U is fuzzy compact, i.e.,      (fl × f 2 ) ( x l , x 2 ) = (fl(xl),f2(x2)) for each (xl,x2)
each fuzzy open cover of U has a finite subcover.         X1 × X2.

Note 2.5. Each fuzzy compact space is fuzzy locally       Theorem 2.10 (Azad [1]). For any two fuzzy sets
compact.                                                  A and B in I x , ( A × B ) ' = ( A ' x l x ) V ( l x x B ' ) .
                                                          Similarly,   if fi : Xi ~ Yi,             i = 1, 2,      then
Proposition 2.6. In an Hausdorff fts X, the following     (fl ×f2)-l(Bx × B : ) = f ? l ( B 1 ) × f 2 1 ( B 2 ) for all
conditions are equivalent:                                BI × B2 c X2 x Y2.
    (a) X is fuzzy locally compact.
    (b) For each fuzzy point xt in X , there exists       Definition 2.11. Let X and Y be two fts's. The
 a fuzzy open set U in X such that xt ~ U and 0 is        function T : X × Y ~ Y x X defined by T (x, y) =
fuzzy compact.                                            (y, x) for each (x, y)~ X x Y is called a switching
                                                          map.
Proof. (a) =*- (b): By hypothesis for each fuzzy
point xt in X there exists a fuzzy open set U which         The proof of the following lemma is easy.
is fuzzy compact. Since X is fuzzy Hausdorff (a
fuzzy compact subspace of a fuzzy Hausdorff space         Lemma 2.12. The switchino map T : X x Y
is fuzzy closed [6]) U is fuzzy closed: thus U = 0.       Y × X defined as above is fuzzy continuous.
Hence xt e U and 0 is fuzzy compact.
   (b) =, (a): Obvious. []
                                                          3. Fuzzy compact-open topology
Proposition 2.7. Let X be a Hausdorfffts. Then X is
fuzzy locally compact at a fuzzy point xt in X if and       We now introduce the concept of fuzzy compact-
only if for every f-open set U containing xt, there       open topology in the set of all fuzzy continuous
exists an f-open set V such that xt ~ V, 17 is fuzzy      functions from an fts X to an fts Y.
compact and 17 <<.U.
                                                          Definition 3.1. Let X and Y be two fts's and let
Proof. First suppose that X is fuzzy locally com-
pact at an f-point xt. By Definition 2.4 there exists     y x = {f: X ~ Y I f is fuzzy continuous}.
We give this class yX a topology called the fuzzy                  We now consider the induced map of a given
compact-open topology as follows: Let                              function f : Z x X -~ Y.

:,f = {K e IX: K is fuzzy compact in X}                             Definition 4.3. Let X, Y, Z           be fts's and
                                                                   f : Z x X ~ Y be any function. Then the induced
and
                                                                    m a p f : X - * r z is defined by (f(xt))(zr)=f(zr, xt)
~'=     VelY:VisfuzzyopeninY}.                                      for f-points x~ ~ X and zr ~ Z. Conversely, given
                                                                    a function f : X - - , y z a corresponding function
For any K ~ :U and V e ~', let                                     f can also be defined by the same rule.
                                                                        The continuity of f can be characterized in terms
Nr.v = { f • Y X : f ( K ) <~ V}.                                   of the continuity o f f and vice versa. We need the
                                                                    following result for this purpose.
The collection {NK, v: K e ~ , V • U } can be used
as a fuzzy subbase [4] to generate a fuzzy topology                 Proposition 4.4. Let X and Y be two fis's with
on the class yx, called the fuzzy compact-open                      Y fuzzy compact. Let xt be any fuzzy point in X and
topology. The class Y x with this topology is called                N be a fuzzy open set in the fuzzy product space
a fuzzy compact-open topological space. Unless                      X x Y containing {xt} x Y. Then there exists some
otherwise stated, yX will always have the fuzzy                    fuzzy neighborhood W of xt in X such that
compact-open topology.                                              {x,} x Y ~ W x Y <~N.

                                                                   Proof. It is clear that {xt} x Y is fuzzy homeomor-
4. Evaluation map                                                  phic [2] to Y and hence {x,} x Y is fuzzy compact
                                                                   [9]. We cover {x~} x Y by the basis elements
   We now consider the fuzzy product topological                   {U x V} (for the fuzzy topology of X x Y) lying in
space y x x X and define a fuzzy continuous map                    N. Since {x,} x Y is fuzzy compact, {U x V} has
from y x x X into Y.                                               a finite subcover, say, a finite number of basis
                                                                   elements UI x V1 . . . . . U, x V,. Without loss of
Definition 4.1. The mapping e: y X x X --, Y de-                   generality we assume that x t ~ U i for each
fined by e(f, xt) = f ( x t ) for each f-point xt ~ X and          i = 1,2 . . . . . n; since otherwise the basis elements
f s yX is called the fuzzy evaluation map.                         would be superfluous. Let


Theorem 4.2. Let X be a fuzzy locally compact                      W=%Ui.
                                                                          i=1
Hausdorff space. Then the fuzzy evaluation map
e: yX x X -~ Y is fuzzy continuous.                                Clearly W is fuzzy open and xt e W. We show that


Proof. Consider (f, x,) e yX x X where f • yX and                  W x Y ~ + (Ui x Vi).
                                                                           i=1
x t E X . Let V be a fuzzy open set containing
f(x~) = e(f, xt) in Y. Since X is fuzzy locally com-                Let (xr, Ys) be any fuzzy point in W x Y. We con-
pact and f is fuzzy continuous, by Proposition 2.7,                 sider the fuzzy point (x,,ys). Now (xt, y~)e Ui x Vi
there exists a fuzzy open set U in X such that                     for some i; thus Yse Vi. But x r e Uj for every
x, • U, 0 is fuzzy compact a n d f ( U ) ~ V.                      j = 1, 2 . . . . . n (because x, e W). Therefore ( x , ys) e
    Consider the fuzzy open set Nc.v x U in yX x X.                 Uix Vi, as desired. But Uix Vi <~ N for all i = 1,
Clearly ( f , x , ) • N v . v x U. Let ( g , x , ) e N c . v X U    2, ..., n; and
be arbitrary; thus 9(t2)~< V. Since x , e U, we
have g(x,)e V and hence e ( g , x , ) = g ( x , ) e V .            W x Y <~ + (Uix Vi).
                                                                                i=l
Thus e ( N c . v x U ) < ~ V , showing e to be fuzzy
continuous. []                                                     Therefore W x Y ~< N.         []
Theorem 4.5. Let Z be a fuzzy locally compact                Theorem 5.1 (The exponential law). Let X and
 Hausdorff space and X, Y be arbitrary fuzzy                  Z be fuzzy locally compact Hausdorffspaces. Then
 topological spaces. Then a map f: Z × X -4 Y is             for any fuzzy topological space Y, the function
fuzzy continuous if and only if ~ X - 4 y z is fuzzy
 continuous, where f is defined by the rule                  E: y z , , x ._, ( y z ) x

(f(x~))(z~) =f(z~, x,).                                      defined by E ( f ) = f (i.e., E(f)(xt)(z,,) = f(z,,, xt)=
                                                             (f(xt))(z,,))for all f: Z x X -4 Y is a fuzzy homeomor-
Proof. Suppose that f is fuzzy continuous. Con-              phism.
sider the functions
                                                              Proof. (a) Clearly E is onto.
ZxX     .... ~ Z x YZ ~ , y Z x Z      , y,                       (b) For E to be i~ective, let E ( f ) = E(g) for
                                                             f, g: Z × X -4 Y. Thus f = 0, where f a n d 0 are the
                                                              induced maps o f f and g, respectively. Now for any
 where iz denotes the fuzzy identity function on Z,
                                                              fuzzy point x, in X and any fuzzy point zu in Z,
 t denotes the switching map and e denotes the
                                                             f(z,,, xt) = (f(xt)(z,,)) = (0(xt)(z,)) = g(z,,, xt); thus
 evaluation map. Since et(iz xf)(z~, x,)= et(z~,f(x,))
  = e(f(x,),z~)---J~xt)(z~)=f(z~, xt), it follows that       f=g.
                                                                  (c) For proving the fuzzy continuity of E, con-
f = et(iz x f); and f being the composition of fuzzy
                                                              sider any fuzzy subbasis neighborhood V of f in
 continuous functions is itself fuzzy continuous.
                                                              ( y z ) x i.e., V is of the form N~:.w where K is a fuzzy
     Conversely suppose that f is fuzzy continuous.
                                                              compact subset of X and W is fuzzy open in yZ.
 Let Xk be any arbitrary fuzzy point in X. We have
                                                              Without loss of generality we may assume that
f(xk) e y z . Consider a subbasis element Nr, v=
                                                              W = NL. v where L is a fuzzy compact subset of
 {g e yZ: o(K) <~ U, K ~ I z is fuzzy compact and
                                                              Z and U E I r is fuzzy open. Thenf(K) ~< NL.V = W
 U e I r is fuzzy open} containing f(Xk). We need to
                                                              and this implies that (f(K))(L) <~ U. Thus for any
 find a fuzzy neighborhood [8] W of Xk such that
                                                              fuzzy point x, in K and for all fuzzy point z, in L, we
f ( w ) <~NK, v; this will suffice to prove f to be
                                                              have (f(x,))(z,,) ~ U, i.e.,f(z,, x,) ~ O and therefore
 a fuzzy continuous map.
                                                             f ( L × K)<~ U. Now since L is fuzzy compact in
     For any fuzzy point z, in K, we have
                                                              Z and K is fuzzy compact in X, L x K is also fuzzy
 (f(Xk))(Z,) =f(z,,, Xk) ~ U; thus f ( K x {Xk}) ~ U,         compact in Z × X (cf. [9]) and since U is a fuzzy
 i.e., K x {Xk} <~f-I(U). Sincefis fuzzy continuous,          open set in Y we conclude t h a t f e NL×K.C, ~< yz×x.
f - ~ ( U ) is a fuzzy open set in Z x X. Thus f - I(U) is
                                                              We assert that E(NL×K.V) <~ Nr.w. Let g ~ NL×K,u
 a fuzzy open set in Z x X containing K x {Xk}.
                                                              be arbitrary. Thus g(L × K)<~ U, i.e., g(z,,, x t ) =
 Hence by Proposition 4.4, there exists a fuzzy
                                                              (0(xt))(z,) ~ U for all fuzzy point z, e L ~< Z and for
 neighborhood W of xk in X such that K x {xk}
                                                              all fuzzy points xt ~ K <<.X. So (0(xt))(L) ~< U for
  ~KxW          ~f-I(U).    Therefore f ( K x W ) ~ U .
                                                              all fuzzy points xt e K ~< X, i.e., (0(xt)) E NL, V = W
 Now for any x, e W and z , ~ K , f ( z ~ , x , ) =
                                                              for all fuzzy points x , ~ K <~X, i.e., (0(x~))~
 (f(x,))(z,)e U. Therefore (f(x,))(K)<<, U for all
                                                              NL, v = W for all fuzzy points xt ~ K <~X. Hence
 x , e W, i.e., f(x.)e NK.v for all x , e W. Hence
                                                              we have 0(K)~< W, i.e., 0 = E ( g ) e Ni,:,w for any
f ( w ) ~ NK, v as desired. []                                g e NL×r,u. Thus E(NL×K.v)<~ Nicw. This proves
                                                              that E is fuzzy continuous.
                                                                  (d) For proving the fuzzy continuity of E- 1 we
5. Exponential map                                            consider the following evaluation maps: ej :(yZ)X
                                                              x X - - * Y z defined by e l ( f x t ) = f ( x t )  where
  We define exponential law by using induced                 f e ( y Z ) X and x, is any fuzzy point in X and
maps (of. Definition 4.3) and study some of its               e2 : yZ x Z -4 Y defined by e2(g, z,,) = g(z,) where
properties.                                                   g e yZ and z, is a fuzzy point in Z. Let 0 denote the
c o m p o s i t i o n of the following fuzzy c o n t i n u o u s         Proof. C o n s i d e r the following c o m p o s i t i o n s :
functions:
                                                                         X x yX x Z r           r , yXxzrxx               ,×i, , z r x y x x X
(ZxX)×(yZ)X                "r ( y Z ) X x ( Z x X )
                                                                             :--. z r x ( y X x X )       i×"1, Z r x Y     ": , Z,

     i×, ( y z ) x x ( X x Z)                                            where T, t d e n o t e the switching m a p s , ix a n d i de-
                                                                         note the fuzzy identity functions on X a n d Z r,
                                                                         respectively, a n d ej a n d e2 d e n o t e the e v a l u a t i o n
         ((yZ)XxX)x            z    c.,.z    yZxZ     ~   y,
                                                                         maps. Let q~ = e2 '~(i x el) ° (t x ix)" T. By T h e o r e m
                                                                         5.1, we have an e x p o n e n t i a l m a p
where i, iz d e n o t e the fuzzy identity m a p s on                                                     yXxZ   r
                                                                         E:ZX~×z            " __. (Z x)
(yZ)X a n d Z respectively a n d T , t d e n o t e the
switching maps. T h u s O : ( Z x X) x (yZ)X __. y , i.e.,                              zX× ~×z'            ( z X ) r , ×z'
                                                                          Since q~                , E(q~) e                 ; let S = E(q~),
~b ~ Y Iz×x~×ly~x. W e c o n s i d e r the m a p                          i.e., S : y X x z r ~ z   x is fuzzy c o n t i n u o u s . F o r
~ : ycz×xl~Iv~l x ~ ( y z × x ff~l "                                     f 6 y X , g ~ Z r a n d for any fuzzy p o i n t xt in X, it is
                                                                          easy to see that S ( f g)(xt) = g ( f ( x t ) ) . [ ]
(as defined in the s t a t e m e n t of the t h e o r e m , in fact it
is E). So
                                                                         References
E(qJ) ~ ( y z ×x )IY'~p,
                                                                          [1] K.K. Azad, On fuzzy semi-continuity, fuzzy almost conti-
i.e., we have a fuzzy c o n t i n u o u s m a p                               nuity and fuzzy weakly continuity, J. Math. Anal, Appl. 82
                                                                              (1981) 14 32.
p,(t~):(yz)x ~ yz,~x.                                                     [2] C.L. Chang, Fuzzy topological spaces, J. Math. Anal. Appl.
                                                                              24 (1968) 182 190.
 N o w for a n y fuzzy p o i n t s z , , e Z , x t e X            and     [3] F.T. Christoph, Quotient fuzzy topology and local com-
                                                                              pactness, J. Math. Anal. Appl. 57 (1977) 497-504.
f e y z × x , it is a r o u t i n e m a t t e r to check t h a t
                                                                          [4] D.H. Foster, Fuzzy topological groups, J. Math. Anal.
 (E(tp)o E ) ( f ) ( z , , xt) = f ( z , , xt); hence /~(~b)oE=               Appl. 67 (1979) 549-564.
 identity. Similarly for a n y O e ( Y Z ) x a n d fuzzy                  [5] S. Ganguly and S. Saha, A note on 6-continuity and 6-
 p o i n t s x, e X, z, E Z, it is also a r o u t i n e m a t t e r to        connected sets in fuzzy set theory, Simon Stevin 62 (1988)
 check t h a t (E°F,(O))(O)(x,)(zu)= O(xt)(z,); hence                         127- 141.
                                                                          [6] S, Ganguly and S. Saha, A note on compactness in fuzzy
 E o/~(~) = identity. This c o m p l e t e s the p r o o f that
                                                                              setting, Fuzzy Sets and Systems 34 (1990) 117 124.
 E is a fuzzy h o m e o m o r p h i s m .       []                        [7] A.K. Katsara and D.B. Liu, Fuzzy vector spaces and fuzzy
                                                                              topological vector spaces, J. Math. Anal. Appl. 58 (1977)
Definition 5.2. T h e m a p E in T h e o r e m 5.1 is called                  135-146.
                                                                          [8] Pu Pao Ming and Liu Ying-Ming, Fuzzy topology I: neigh-
the e x p o n e n t i a l m a p .
                                                                              borhood structure of a fuzzy point and Moore Smith con-
                                                                              vergence, J. Math. Anal. Appl. 76 (1980) 571 599.
  A n easy c o n s e q u e n c e of T h e o r e m 5.1 is as fol-          [9] Abdulla S. Bin Shahna, On fuzzy compactness and fuzzy
lows.                                                                         Lindel6fness, Bull. Cal. Math. Soc. 83 (1991) 146-150.
                                                                         [10] R. Srivastava and A.K. Srivastava, On fuzzy Hausdorff
                                                                              concepts, Fuzzy Sets and Systems 17 (1985) 67 71.
Corollary 5.3. L e t X , Y, Z be f u z z y locally compact               [11] C.K. Wong, Fuzzy points and local properties of fuzzy
H a u s d o r f f spaces. Then the map                                        topologies, J. Math. Anal. Appl. 46 (1974) 316-328.
                                                                         [12] C.K. Wong, Fuzzy topology: product and quotient the-
S: Y x × z r       ~ Zx                                                       orems, J. Math. Anal. Appl. 45 (1974) 512 -521.
                                                                         [13] L.A. Zadeh. Fuzzy sets, 1nJorm. and Control 8 (1965)
defined by S ( f g) = g o f is f u z z y continuous.                          338 353.

Weitere ähnliche Inhalte

Was ist angesagt?

A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dAlexander Decker
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)irjes
 
Bq32857863
Bq32857863Bq32857863
Bq32857863IJMER
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesAlexander Decker
 
On Decomposition of Nano Continuity
On Decomposition of Nano ContinuityOn Decomposition of Nano Continuity
On Decomposition of Nano Continuityiosrjce
 
The Relationship between Kernel Set and Separation via ω-Open Set
The Relationship between Kernel Set and Separation via ω-Open SetThe Relationship between Kernel Set and Separation via ω-Open Set
The Relationship between Kernel Set and Separation via ω-Open Setpaperpublications3
 
On Characterizations of NANO RGB-Closed Sets in NANO Topological Spaces
On Characterizations of NANO RGB-Closed Sets in NANO Topological SpacesOn Characterizations of NANO RGB-Closed Sets in NANO Topological Spaces
On Characterizations of NANO RGB-Closed Sets in NANO Topological SpacesIJMER
 
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected SpacesIJMER
 
Best Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesBest Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesIOSR Journals
 
Db31463471
Db31463471Db31463471
Db31463471IJMER
 
Contra  * Continuous Functions in Topological Spaces
Contra   * Continuous Functions in Topological SpacesContra   * Continuous Functions in Topological Spaces
Contra  * Continuous Functions in Topological SpacesIJMER
 
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...IOSR Journals
 

Was ist angesagt? (18)

E42012426
E42012426E42012426
E42012426
 
H25031037
H25031037H25031037
H25031037
 
A unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized dA unique common fixed point theorems in generalized d
A unique common fixed point theorems in generalized d
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
 
Bq32857863
Bq32857863Bq32857863
Bq32857863
 
1 s2.0-s1574035804702117-main
1 s2.0-s1574035804702117-main1 s2.0-s1574035804702117-main
1 s2.0-s1574035804702117-main
 
C026014016
C026014016C026014016
C026014016
 
4515ijci01
4515ijci014515ijci01
4515ijci01
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spaces
 
On Decomposition of Nano Continuity
On Decomposition of Nano ContinuityOn Decomposition of Nano Continuity
On Decomposition of Nano Continuity
 
The Relationship between Kernel Set and Separation via ω-Open Set
The Relationship between Kernel Set and Separation via ω-Open SetThe Relationship between Kernel Set and Separation via ω-Open Set
The Relationship between Kernel Set and Separation via ω-Open Set
 
On Characterizations of NANO RGB-Closed Sets in NANO Topological Spaces
On Characterizations of NANO RGB-Closed Sets in NANO Topological SpacesOn Characterizations of NANO RGB-Closed Sets in NANO Topological Spaces
On Characterizations of NANO RGB-Closed Sets in NANO Topological Spaces
 
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces
𝑺𝒈 ∗ -Compact and 𝑺𝒈 ∗ -Connected Spaces
 
50120140504018
5012014050401850120140504018
50120140504018
 
Best Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesBest Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed Spaces
 
Db31463471
Db31463471Db31463471
Db31463471
 
Contra  * Continuous Functions in Topological Spaces
Contra   * Continuous Functions in Topological SpacesContra   * Continuous Functions in Topological Spaces
Contra  * Continuous Functions in Topological Spaces
 
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...
On Fuzzy  - Semi Open Sets and Fuzzy  - Semi Closed Sets in Fuzzy Topologic...
 

Andere mochten auch (6)

Snegurochka
SnegurochkaSnegurochka
Snegurochka
 
BranchenThemen Marketing & Werbung Gesamtübersicht 2013
BranchenThemen Marketing & Werbung Gesamtübersicht 2013  BranchenThemen Marketing & Werbung Gesamtübersicht 2013
BranchenThemen Marketing & Werbung Gesamtübersicht 2013
 
Präsentation Jan Zak, ikl GmbH
Präsentation Jan Zak, ikl GmbHPräsentation Jan Zak, ikl GmbH
Präsentation Jan Zak, ikl GmbH
 
Lm21
Lm21Lm21
Lm21
 
Society3 Startup Night Essen Apr-2015
Society3 Startup Night Essen Apr-2015Society3 Startup Night Essen Apr-2015
Society3 Startup Night Essen Apr-2015
 
Onedigicom think mobile - oliver schmitt, re-lounge gmb h
Onedigicom   think mobile - oliver schmitt, re-lounge gmb hOnedigicom   think mobile - oliver schmitt, re-lounge gmb h
Onedigicom think mobile - oliver schmitt, re-lounge gmb h
 

Ähnlich wie On fuzzy compact open topology

Nearly Normal Topological Spaces of the First Kind and the Second Kind
Nearly Normal Topological Spaces of the First Kind and the Second KindNearly Normal Topological Spaces of the First Kind and the Second Kind
Nearly Normal Topological Spaces of the First Kind and the Second Kindijtsrd
 
Some Results on Fuzzy Supra Topological Spaces
Some Results on Fuzzy Supra Topological SpacesSome Results on Fuzzy Supra Topological Spaces
Some Results on Fuzzy Supra Topological SpacesIJERA Editor
 
H03702061062
H03702061062H03702061062
H03702061062theijes
 
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsOn Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsBRNSS Publication Hub
 
About extensions of mappings into topologically complete spaces
About extensions of mappings into topologically complete spacesAbout extensions of mappings into topologically complete spaces
About extensions of mappings into topologically complete spacesRadu Dumbrăveanu
 
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and ScienceResearch Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Scienceinventy
 
On Contra – RW Continuous Functions in Topological Spaces
On Contra – RW Continuous Functions in Topological SpacesOn Contra – RW Continuous Functions in Topological Spaces
On Contra – RW Continuous Functions in Topological SpacesIJMER
 
Functionalanalysis ejemplos infinitos
Functionalanalysis ejemplos infinitosFunctionalanalysis ejemplos infinitos
Functionalanalysis ejemplos infinitosSualín Rojas
 
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)IJERA Editor
 
1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of HiAbbyWhyte974
 
1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of HiMartineMccracken314
 
Contra qpi continuous functions in ideal bitopological spaces
Contra qpi  continuous functions in ideal bitopological spacesContra qpi  continuous functions in ideal bitopological spaces
Contra qpi continuous functions in ideal bitopological spacesAlexander Decker
 
16 Machine Learning Universal Approximation Multilayer Perceptron
16 Machine Learning Universal Approximation Multilayer Perceptron16 Machine Learning Universal Approximation Multilayer Perceptron
16 Machine Learning Universal Approximation Multilayer PerceptronAndres Mendez-Vazquez
 
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docxMA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docxsmile790243
 

Ähnlich wie On fuzzy compact open topology (20)

04_AJMS_210_19_RA.pdf
04_AJMS_210_19_RA.pdf04_AJMS_210_19_RA.pdf
04_AJMS_210_19_RA.pdf
 
04_AJMS_210_19_RA.pdf
04_AJMS_210_19_RA.pdf04_AJMS_210_19_RA.pdf
04_AJMS_210_19_RA.pdf
 
Nearly Normal Topological Spaces of the First Kind and the Second Kind
Nearly Normal Topological Spaces of the First Kind and the Second KindNearly Normal Topological Spaces of the First Kind and the Second Kind
Nearly Normal Topological Spaces of the First Kind and the Second Kind
 
Some Results on Fuzzy Supra Topological Spaces
Some Results on Fuzzy Supra Topological SpacesSome Results on Fuzzy Supra Topological Spaces
Some Results on Fuzzy Supra Topological Spaces
 
04_AJMS_335_21.pdf
04_AJMS_335_21.pdf04_AJMS_335_21.pdf
04_AJMS_335_21.pdf
 
H03702061062
H03702061062H03702061062
H03702061062
 
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsOn Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
 
About extensions of mappings into topologically complete spaces
About extensions of mappings into topologically complete spacesAbout extensions of mappings into topologically complete spaces
About extensions of mappings into topologically complete spaces
 
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and ScienceResearch Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science
 
On Contra – RW Continuous Functions in Topological Spaces
On Contra – RW Continuous Functions in Topological SpacesOn Contra – RW Continuous Functions in Topological Spaces
On Contra – RW Continuous Functions in Topological Spaces
 
Functionalanalysis ejemplos infinitos
Functionalanalysis ejemplos infinitosFunctionalanalysis ejemplos infinitos
Functionalanalysis ejemplos infinitos
 
03_AJMS_279_20_20210128_V2.pdf
03_AJMS_279_20_20210128_V2.pdf03_AJMS_279_20_20210128_V2.pdf
03_AJMS_279_20_20210128_V2.pdf
 
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
 
18MMA21C-U2.pdf
18MMA21C-U2.pdf18MMA21C-U2.pdf
18MMA21C-U2.pdf
 
Ow3426032607
Ow3426032607Ow3426032607
Ow3426032607
 
1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi
 
1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi1 IntroductionThese notes introduces a particular kind of Hi
1 IntroductionThese notes introduces a particular kind of Hi
 
Contra qpi continuous functions in ideal bitopological spaces
Contra qpi  continuous functions in ideal bitopological spacesContra qpi  continuous functions in ideal bitopological spaces
Contra qpi continuous functions in ideal bitopological spaces
 
16 Machine Learning Universal Approximation Multilayer Perceptron
16 Machine Learning Universal Approximation Multilayer Perceptron16 Machine Learning Universal Approximation Multilayer Perceptron
16 Machine Learning Universal Approximation Multilayer Perceptron
 
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docxMA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
MA500-2 Topological Structures 2016Aisling McCluskey, Dar.docx
 

Kürzlich hochgeladen

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 

Kürzlich hochgeladen (20)

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 

On fuzzy compact open topology

  • 1. Published in Fuzzy Sets and Systems, 1996, Vol 80, Iss 3, P 377- Archived with Dspace@nitr 381 author email abehera@nitrkl.ac.in http://dspace.nitrkl.ac.in/dspace On fuzzy compact-open topology S. Dang a, A. Behera b'* Department of Mathematics, GovernmentCollege, Rourkela-769 004, India bDepartment of Mathematics, Regional Engineering College, Rourkela-769 008, India Received October 1994 Abstract The concept of fuzzy compact-open topology is introduced and some characterizations of this topology are discussed. Keywords: Fuzzy locally compact Hausdorff space; Fuzzy product topology; Fuzzy compact-open topology; Fuzzy homeomorphism; Evaluation map; Exponential map. 1. Introduction 2. Preliminaries Ever since the introduction of fuzzy set by Zadeh The concepts of fuzzy topologies are standard by [13] and fuzzy topological space by Chang [2], now and can be referred from [2, 8, 13]. For the several authors have tried successfully to generalize definitions and various results of fuzzy topology, numerous pivot concepts of general topology to the fuzzy continuity, fuzzy open map, fuzzy compact- fuzzy setting. The concept of compact-open topol- ness we refer to [2]. For the definitions of fuzzy ogy has a vital role in defining function spaces point and fuzzy neighborhood of a fuzzy point we in general topology. We intend to introduce the refer to [8]. concept of fuzzy compact-open topology and con- So far as the notation is concerned, we denote tribute some theories and results relating to this fuzzy sets by letters such as A, B, C, U, V, W, etc. I x concept. The concepts of fuzzy local compactness denotes the set of all fuzzy sets on a nonempty set and fuzzy product topology play a vital role in the X. 0x and lx denote, respectively, the constant theory that we have developed in this paper. We fuzzy sets taking the values 0 and 1 on X. A, A t, A' have used the fuzzy locally compactness notion due will denote the fuzzy closure, fuzzy interior and the to Wong [11], Christoph [3] and fuzzy product fuzzy complement of A e I x, respectively. topology due to Wong [12]. We need the following definitions and results for our subsequent use. Theorem 2.1 (Ganguly and Saha [5]). A mapping f : X ~ Y from antis X to antis Y is said to be f u z z y * Corresponding author. continuous at a f u z z y point xt of X if and only if for
  • 2. every fuzzy neiohborhood V of f(xt), there exists a fuzzy open set U such that xt e U and U is fuzzy a fuzzy neighborhood U of x, such t h a t f ( U ) <~ V. compact. Since X is fuzzy Hausdorff, by Theorem f is said to be fuzzy continuous on X if it is so at 4.13 of [6], U is fuzzy closed; thus U = 0. Consider each fuzzy point of X. a fuzzy point Yr ~ (Ix - U). Since X is fuzzy Haus- dorff, by Definition 2.3 there exist open sets C and Definition 2.2. (Chang [2]). A mapping f: X ~ Y D such that xt ~ C and y, ~ D and C A D = 0x. Let is said to be a fuzzy homeomorphism iffis bijective, V = C A U. Hence V~<U implies I T ~ < u = u . fuzzy continuous and fuzzy open. Since 17 is f-closed and U is fuzzy compact, by Theorem 4.2 of [6], it follows that 17 is fuzzy com- Definition 2.3 (Srivastava and Srivastava [10]). An pact. Thus x~ e 17 ~< U and 0 is fuzzy compact. The fts (X, T) is called a fuzzy Hausdorff space or T2- converse follows from Proposition 2.6(b). [] space if for any pair of distinct fuzzy points (i.e., fuzzy points with distinct supports) xt and y,, there Definition 2.8 (Katsara and Lin [7]). The product exist fuzzy open sets U and V such that xt ~ U, of two fuzzy sets A and B in an fts (X, T) is y~Vand U A V=Ox. defined as (A × B)(x, y ) = min(A(x), B(y)) for all (x, y) e X × Y. Definition 2.4 (Wong [11]). An fts (X, T) is said to be fuzzy locally compact if and only if for every Definition 2.9 (Azad [1]). I f f / : X i ~ Yi, i = 1,2, fuzzy point xt in X there exists a fuzzy open set then fl xf2:X1 × X 2 ----r Y1 × Y2 is defined by U e T such that xt ~ U and U is fuzzy compact, i.e., (fl × f 2 ) ( x l , x 2 ) = (fl(xl),f2(x2)) for each (xl,x2) each fuzzy open cover of U has a finite subcover. X1 × X2. Note 2.5. Each fuzzy compact space is fuzzy locally Theorem 2.10 (Azad [1]). For any two fuzzy sets compact. A and B in I x , ( A × B ) ' = ( A ' x l x ) V ( l x x B ' ) . Similarly, if fi : Xi ~ Yi, i = 1, 2, then Proposition 2.6. In an Hausdorff fts X, the following (fl ×f2)-l(Bx × B : ) = f ? l ( B 1 ) × f 2 1 ( B 2 ) for all conditions are equivalent: BI × B2 c X2 x Y2. (a) X is fuzzy locally compact. (b) For each fuzzy point xt in X , there exists Definition 2.11. Let X and Y be two fts's. The a fuzzy open set U in X such that xt ~ U and 0 is function T : X × Y ~ Y x X defined by T (x, y) = fuzzy compact. (y, x) for each (x, y)~ X x Y is called a switching map. Proof. (a) =*- (b): By hypothesis for each fuzzy point xt in X there exists a fuzzy open set U which The proof of the following lemma is easy. is fuzzy compact. Since X is fuzzy Hausdorff (a fuzzy compact subspace of a fuzzy Hausdorff space Lemma 2.12. The switchino map T : X x Y is fuzzy closed [6]) U is fuzzy closed: thus U = 0. Y × X defined as above is fuzzy continuous. Hence xt e U and 0 is fuzzy compact. (b) =, (a): Obvious. [] 3. Fuzzy compact-open topology Proposition 2.7. Let X be a Hausdorfffts. Then X is fuzzy locally compact at a fuzzy point xt in X if and We now introduce the concept of fuzzy compact- only if for every f-open set U containing xt, there open topology in the set of all fuzzy continuous exists an f-open set V such that xt ~ V, 17 is fuzzy functions from an fts X to an fts Y. compact and 17 <<.U. Definition 3.1. Let X and Y be two fts's and let Proof. First suppose that X is fuzzy locally com- pact at an f-point xt. By Definition 2.4 there exists y x = {f: X ~ Y I f is fuzzy continuous}.
  • 3. We give this class yX a topology called the fuzzy We now consider the induced map of a given compact-open topology as follows: Let function f : Z x X -~ Y. :,f = {K e IX: K is fuzzy compact in X} Definition 4.3. Let X, Y, Z be fts's and f : Z x X ~ Y be any function. Then the induced and m a p f : X - * r z is defined by (f(xt))(zr)=f(zr, xt) ~'= VelY:VisfuzzyopeninY}. for f-points x~ ~ X and zr ~ Z. Conversely, given a function f : X - - , y z a corresponding function For any K ~ :U and V e ~', let f can also be defined by the same rule. The continuity of f can be characterized in terms Nr.v = { f • Y X : f ( K ) <~ V}. of the continuity o f f and vice versa. We need the following result for this purpose. The collection {NK, v: K e ~ , V • U } can be used as a fuzzy subbase [4] to generate a fuzzy topology Proposition 4.4. Let X and Y be two fis's with on the class yx, called the fuzzy compact-open Y fuzzy compact. Let xt be any fuzzy point in X and topology. The class Y x with this topology is called N be a fuzzy open set in the fuzzy product space a fuzzy compact-open topological space. Unless X x Y containing {xt} x Y. Then there exists some otherwise stated, yX will always have the fuzzy fuzzy neighborhood W of xt in X such that compact-open topology. {x,} x Y ~ W x Y <~N. Proof. It is clear that {xt} x Y is fuzzy homeomor- 4. Evaluation map phic [2] to Y and hence {x,} x Y is fuzzy compact [9]. We cover {x~} x Y by the basis elements We now consider the fuzzy product topological {U x V} (for the fuzzy topology of X x Y) lying in space y x x X and define a fuzzy continuous map N. Since {x,} x Y is fuzzy compact, {U x V} has from y x x X into Y. a finite subcover, say, a finite number of basis elements UI x V1 . . . . . U, x V,. Without loss of Definition 4.1. The mapping e: y X x X --, Y de- generality we assume that x t ~ U i for each fined by e(f, xt) = f ( x t ) for each f-point xt ~ X and i = 1,2 . . . . . n; since otherwise the basis elements f s yX is called the fuzzy evaluation map. would be superfluous. Let Theorem 4.2. Let X be a fuzzy locally compact W=%Ui. i=1 Hausdorff space. Then the fuzzy evaluation map e: yX x X -~ Y is fuzzy continuous. Clearly W is fuzzy open and xt e W. We show that Proof. Consider (f, x,) e yX x X where f • yX and W x Y ~ + (Ui x Vi). i=1 x t E X . Let V be a fuzzy open set containing f(x~) = e(f, xt) in Y. Since X is fuzzy locally com- Let (xr, Ys) be any fuzzy point in W x Y. We con- pact and f is fuzzy continuous, by Proposition 2.7, sider the fuzzy point (x,,ys). Now (xt, y~)e Ui x Vi there exists a fuzzy open set U in X such that for some i; thus Yse Vi. But x r e Uj for every x, • U, 0 is fuzzy compact a n d f ( U ) ~ V. j = 1, 2 . . . . . n (because x, e W). Therefore ( x , ys) e Consider the fuzzy open set Nc.v x U in yX x X. Uix Vi, as desired. But Uix Vi <~ N for all i = 1, Clearly ( f , x , ) • N v . v x U. Let ( g , x , ) e N c . v X U 2, ..., n; and be arbitrary; thus 9(t2)~< V. Since x , e U, we have g(x,)e V and hence e ( g , x , ) = g ( x , ) e V . W x Y <~ + (Uix Vi). i=l Thus e ( N c . v x U ) < ~ V , showing e to be fuzzy continuous. [] Therefore W x Y ~< N. []
  • 4. Theorem 4.5. Let Z be a fuzzy locally compact Theorem 5.1 (The exponential law). Let X and Hausdorff space and X, Y be arbitrary fuzzy Z be fuzzy locally compact Hausdorffspaces. Then topological spaces. Then a map f: Z × X -4 Y is for any fuzzy topological space Y, the function fuzzy continuous if and only if ~ X - 4 y z is fuzzy continuous, where f is defined by the rule E: y z , , x ._, ( y z ) x (f(x~))(z~) =f(z~, x,). defined by E ( f ) = f (i.e., E(f)(xt)(z,,) = f(z,,, xt)= (f(xt))(z,,))for all f: Z x X -4 Y is a fuzzy homeomor- Proof. Suppose that f is fuzzy continuous. Con- phism. sider the functions Proof. (a) Clearly E is onto. ZxX .... ~ Z x YZ ~ , y Z x Z , y, (b) For E to be i~ective, let E ( f ) = E(g) for f, g: Z × X -4 Y. Thus f = 0, where f a n d 0 are the induced maps o f f and g, respectively. Now for any where iz denotes the fuzzy identity function on Z, fuzzy point x, in X and any fuzzy point zu in Z, t denotes the switching map and e denotes the f(z,,, xt) = (f(xt)(z,,)) = (0(xt)(z,)) = g(z,,, xt); thus evaluation map. Since et(iz xf)(z~, x,)= et(z~,f(x,)) = e(f(x,),z~)---J~xt)(z~)=f(z~, xt), it follows that f=g. (c) For proving the fuzzy continuity of E, con- f = et(iz x f); and f being the composition of fuzzy sider any fuzzy subbasis neighborhood V of f in continuous functions is itself fuzzy continuous. ( y z ) x i.e., V is of the form N~:.w where K is a fuzzy Conversely suppose that f is fuzzy continuous. compact subset of X and W is fuzzy open in yZ. Let Xk be any arbitrary fuzzy point in X. We have Without loss of generality we may assume that f(xk) e y z . Consider a subbasis element Nr, v= W = NL. v where L is a fuzzy compact subset of {g e yZ: o(K) <~ U, K ~ I z is fuzzy compact and Z and U E I r is fuzzy open. Thenf(K) ~< NL.V = W U e I r is fuzzy open} containing f(Xk). We need to and this implies that (f(K))(L) <~ U. Thus for any find a fuzzy neighborhood [8] W of Xk such that fuzzy point x, in K and for all fuzzy point z, in L, we f ( w ) <~NK, v; this will suffice to prove f to be have (f(x,))(z,,) ~ U, i.e.,f(z,, x,) ~ O and therefore a fuzzy continuous map. f ( L × K)<~ U. Now since L is fuzzy compact in For any fuzzy point z, in K, we have Z and K is fuzzy compact in X, L x K is also fuzzy (f(Xk))(Z,) =f(z,,, Xk) ~ U; thus f ( K x {Xk}) ~ U, compact in Z × X (cf. [9]) and since U is a fuzzy i.e., K x {Xk} <~f-I(U). Sincefis fuzzy continuous, open set in Y we conclude t h a t f e NL×K.C, ~< yz×x. f - ~ ( U ) is a fuzzy open set in Z x X. Thus f - I(U) is We assert that E(NL×K.V) <~ Nr.w. Let g ~ NL×K,u a fuzzy open set in Z x X containing K x {Xk}. be arbitrary. Thus g(L × K)<~ U, i.e., g(z,,, x t ) = Hence by Proposition 4.4, there exists a fuzzy (0(xt))(z,) ~ U for all fuzzy point z, e L ~< Z and for neighborhood W of xk in X such that K x {xk} all fuzzy points xt ~ K <<.X. So (0(xt))(L) ~< U for ~KxW ~f-I(U). Therefore f ( K x W ) ~ U . all fuzzy points xt e K ~< X, i.e., (0(xt)) E NL, V = W Now for any x, e W and z , ~ K , f ( z ~ , x , ) = for all fuzzy points x , ~ K <~X, i.e., (0(x~))~ (f(x,))(z,)e U. Therefore (f(x,))(K)<<, U for all NL, v = W for all fuzzy points xt ~ K <~X. Hence x , e W, i.e., f(x.)e NK.v for all x , e W. Hence we have 0(K)~< W, i.e., 0 = E ( g ) e Ni,:,w for any f ( w ) ~ NK, v as desired. [] g e NL×r,u. Thus E(NL×K.v)<~ Nicw. This proves that E is fuzzy continuous. (d) For proving the fuzzy continuity of E- 1 we 5. Exponential map consider the following evaluation maps: ej :(yZ)X x X - - * Y z defined by e l ( f x t ) = f ( x t ) where We define exponential law by using induced f e ( y Z ) X and x, is any fuzzy point in X and maps (of. Definition 4.3) and study some of its e2 : yZ x Z -4 Y defined by e2(g, z,,) = g(z,) where properties. g e yZ and z, is a fuzzy point in Z. Let 0 denote the
  • 5. c o m p o s i t i o n of the following fuzzy c o n t i n u o u s Proof. C o n s i d e r the following c o m p o s i t i o n s : functions: X x yX x Z r r , yXxzrxx ,×i, , z r x y x x X (ZxX)×(yZ)X "r ( y Z ) X x ( Z x X ) :--. z r x ( y X x X ) i×"1, Z r x Y ": , Z, i×, ( y z ) x x ( X x Z) where T, t d e n o t e the switching m a p s , ix a n d i de- note the fuzzy identity functions on X a n d Z r, respectively, a n d ej a n d e2 d e n o t e the e v a l u a t i o n ((yZ)XxX)x z c.,.z yZxZ ~ y, maps. Let q~ = e2 '~(i x el) ° (t x ix)" T. By T h e o r e m 5.1, we have an e x p o n e n t i a l m a p where i, iz d e n o t e the fuzzy identity m a p s on yXxZ r E:ZX~×z " __. (Z x) (yZ)X a n d Z respectively a n d T , t d e n o t e the switching maps. T h u s O : ( Z x X) x (yZ)X __. y , i.e., zX× ~×z' ( z X ) r , ×z' Since q~ , E(q~) e ; let S = E(q~), ~b ~ Y Iz×x~×ly~x. W e c o n s i d e r the m a p i.e., S : y X x z r ~ z x is fuzzy c o n t i n u o u s . F o r ~ : ycz×xl~Iv~l x ~ ( y z × x ff~l " f 6 y X , g ~ Z r a n d for any fuzzy p o i n t xt in X, it is easy to see that S ( f g)(xt) = g ( f ( x t ) ) . [ ] (as defined in the s t a t e m e n t of the t h e o r e m , in fact it is E). So References E(qJ) ~ ( y z ×x )IY'~p, [1] K.K. Azad, On fuzzy semi-continuity, fuzzy almost conti- i.e., we have a fuzzy c o n t i n u o u s m a p nuity and fuzzy weakly continuity, J. Math. Anal, Appl. 82 (1981) 14 32. p,(t~):(yz)x ~ yz,~x. [2] C.L. Chang, Fuzzy topological spaces, J. Math. Anal. Appl. 24 (1968) 182 190. N o w for a n y fuzzy p o i n t s z , , e Z , x t e X and [3] F.T. Christoph, Quotient fuzzy topology and local com- pactness, J. Math. Anal. Appl. 57 (1977) 497-504. f e y z × x , it is a r o u t i n e m a t t e r to check t h a t [4] D.H. Foster, Fuzzy topological groups, J. Math. Anal. (E(tp)o E ) ( f ) ( z , , xt) = f ( z , , xt); hence /~(~b)oE= Appl. 67 (1979) 549-564. identity. Similarly for a n y O e ( Y Z ) x a n d fuzzy [5] S. Ganguly and S. Saha, A note on 6-continuity and 6- p o i n t s x, e X, z, E Z, it is also a r o u t i n e m a t t e r to connected sets in fuzzy set theory, Simon Stevin 62 (1988) check t h a t (E°F,(O))(O)(x,)(zu)= O(xt)(z,); hence 127- 141. [6] S, Ganguly and S. Saha, A note on compactness in fuzzy E o/~(~) = identity. This c o m p l e t e s the p r o o f that setting, Fuzzy Sets and Systems 34 (1990) 117 124. E is a fuzzy h o m e o m o r p h i s m . [] [7] A.K. Katsara and D.B. Liu, Fuzzy vector spaces and fuzzy topological vector spaces, J. Math. Anal. Appl. 58 (1977) Definition 5.2. T h e m a p E in T h e o r e m 5.1 is called 135-146. [8] Pu Pao Ming and Liu Ying-Ming, Fuzzy topology I: neigh- the e x p o n e n t i a l m a p . borhood structure of a fuzzy point and Moore Smith con- vergence, J. Math. Anal. Appl. 76 (1980) 571 599. A n easy c o n s e q u e n c e of T h e o r e m 5.1 is as fol- [9] Abdulla S. Bin Shahna, On fuzzy compactness and fuzzy lows. Lindel6fness, Bull. Cal. Math. Soc. 83 (1991) 146-150. [10] R. Srivastava and A.K. Srivastava, On fuzzy Hausdorff concepts, Fuzzy Sets and Systems 17 (1985) 67 71. Corollary 5.3. L e t X , Y, Z be f u z z y locally compact [11] C.K. Wong, Fuzzy points and local properties of fuzzy H a u s d o r f f spaces. Then the map topologies, J. Math. Anal. Appl. 46 (1974) 316-328. [12] C.K. Wong, Fuzzy topology: product and quotient the- S: Y x × z r ~ Zx orems, J. Math. Anal. Appl. 45 (1974) 512 -521. [13] L.A. Zadeh. Fuzzy sets, 1nJorm. and Control 8 (1965) defined by S ( f g) = g o f is f u z z y continuous. 338 353.