SlideShare ist ein Scribd-Unternehmen logo
1 von 4
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 03 December 2014 Pages: 324-327
ISSN: 2278-2397
324
Domination Number on Balanced Signed Graphs
R.Malathi1
,A.Alwin2
1
Asst.Prof, 2
M.Phil Scholar
Dept of Mathematics, ScsvmvUniveristy, Enathur, Kanchipuram, Tamil Nadu
Email Id:malathihema@yahoo.co.in, alwin.best111@gmail.com
Abstrac: - A signed graph based on F is an ordinary graph F
with each edge marked as positive or negative. Such a graph is
called balanced if each of its cycles includes an even number
of negative edges. We find the domination set on the vertices,
on bipartite graphs and show that graphs has domination
Number on signed graphs, such that a signed graph G may be
converted into a balanced graph by changing the signs of d
edges. We investigate the number D(F) defined as the largest
d(G) such that G is a signed graph based on F. If F is the
completebipartite graph with t vertices in each part, then D(f)≤
½ t² - for some positive constant c.
I. DEFINITION
Hoff man Graph:The Hoffman graph is the bipartite graph on
16 nodes and 32 edges illustrated above that is cospectral to
thetesseract graph (Hoffman 1963, van Dam and Haemers
2003). and the Hoffman graph are therefore not determined
by their spectrum. Its girth, graph diameter, graph spectrum,
and characteristic polynomial are the same as those of , but
its graph radius is 3 compared to the value 4 for .In graph
theory, a dominating set for a graph G = (V, E) is
a subset D of V such that every vertex not in D is adjacent to at
least one member of D. The domination number γ(G) is the
number of vertices in a smallest dominating set for G.
v1
v2
v3
v4
v5
v6
v7
v8
v9
v10
v11
v12
v13
v14
v15
v16
‘V’ Denotes the vertices,
‘ ’ denotes the domination set
D(f) Of{V1,V2,V3,V4,V5,V6,V7,V8} = 4
v1
v2
v3
v4
v5
v6
v7
v8
v9
v10
v11
v12
v13
v14
v15
v16
Figure: domination number on balanced signed bipartite e graph
II. ILLUSTRATION
There are 17 possible balanced signed graphs on this
hoffman’s bipartite graphAccording to the definition, D(f) ≤ ½
t² -
Where ‘t’ is number Of vertices t=16
D(f)≤ ½ (16)² -
D(f)≤ ½(256) –c(64)
D(f)≤ 128 – (64)c :- where c is some Positive constant
D(f)≤ 128 :- where c is Zero
D(f)≤ 128 – (64)c :- where c is some Negative constant
Thus the condition satisfies
A complete bipartite graph is a circulant graph (Skiena
1990, p. 99), Specifically , where is
the floor function.
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 03 December 2014 Pages: 324-327
ISSN: 2278-2397
325
“V’ denotes the vertices of the Graph
Denotes the Domination Set
D(f) of { V1,V2,V3,V4,V5,V6,V7,V8,V9,V10} =5
There are 21 possible balanced signed graphs on this bipartite
graph K10,10
According to the definition, D(f) ≤ ½ t² -
Where ‘t’ is number Of vertices t=40
D(f)≤ ½ (40)² -
D(f)≤ 800 - c(252.98) :- where c is some Positive
constant
D(f)≤ 800 :- where c is Zero
D(f)≤ 800 – (252.98)c :- where c is some Negative
constant
Thus the condition satisfies
The Following Graphs are the Single connected domination
number Balanced Signed Graphs:
An (n,k) -banana tree, as defined by Chen et al. (1997), is a
graph obtained by connecting one leaf of each of n copies of
an k Star Graph with a single root vertex that is distinct from
all the stars.
The ( n , k)-banana tree has Rank Polynomial
R(x) = (1 + x) nk
v1
v2
v3
v4 v5
v6
v7
v8
v9 v10
v11
v12
v13
v14 v15
v16
v17
v18
v19 v20
v21
v22
v23
v24 v25
v26
v1
v2
v3
v4 v5
v6
v7
v8
v9 v10
v11
v12
v13
v14 v15
v16
v17
v18
v19 v20
v21
v22
v23
v24 v25
v26
“V’ denotes the vertices of the Graph
Denotes the Domination Set
There are 14possible balanced singed graphs which could be
formed from the above B(5,5) graph.
Where ‘t’ is number Of vertices t=26
D(f)≤ ½ (26)² -
D(f) ≤ 338 – (132.57) c:- where c is some Positive constant
D(f)≤ 338 :- where c is Zero
D(f)≤ 338 – (132.57)c :- where c is some Negative
constant
Thus the condition satisfies
Friendship Graph:
The Friendship Graph is denoted by Fn. Where the below
figure is F8.
Vertices 2n+1, and Edges 3n.
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v11
v12
v13
v14
v15
v16
v17
“V’ denotes the vertices of the Graph
Denotes the Domination Set
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v11
v12
v13
v14
v15
v16
v17
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 03 December 2014 Pages: 324-327
ISSN: 2278-2397
326
D(f) of { V1,V2,……..V16} = 2 and D(f) Of {V17}=16
There are 13 possible balanced singed graphs which could be
formed from the above F8 graph.
Where ‘t’ is number Of vertices t=17
D(f)≤ ½ (17)² -
D(f) ≤ 144.5 - c(70.09) :- where c is some Positive
constant
D(f)≤ 144.5 :- where c is Zero
D(f)≤ 144.5 – (70.09)c :- where c is some Negative
constant
Thus the condition satisfies
The Following are the Twoconnected domination number
balanced signed graphs:
Butterfly Networks
The n-dimensional butterfly graph has 2n
(n+1) vertices and
2n+1
n edges.BF (2)
v1 v2 v3
v4
v5
v6
v7
v8
v9
v10 v11 v12
v1 v2 v3
v4
v5
v6
v7
v8
v9
v10 v11 v12
“V’ denotes the vertices of the Graph
Denotes the Domination Set
v1 v2 v3
v4
v5
v6
v7
v8
v9
v10 v11 v12
D(f) of
{V1,V3,V4,V6,V7,V9,V10,V12} = 2 and D(f) of {
V2,V5,V8,V11} =4
There are 9 possible balanced singed graphs which could be
formed from the above BF2 graph.
Where ‘t’ is number Of vertices t=12
D(f)≤ ½ (12)² -
D(f) ≤ 72 – c(41.56) :- where c is some Positive constant
D(f)≤ 72 :- where c is Zero
D(f)≤ 72 – (41.56)c :- where c is some Negative constant
. Thus the condition satisfies
Book Graph:
The -book graph is defined as the graph Cartesian product
, where is a star graph and is the path graph
on two nodes. The generalization of the book graph
to "stacked" pages is the -stacked book graph
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v11 c12
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v11 c12
D(f) of { V1,V2,V3,V4,V5,V6,V7,V8,V9,V10} = 2 and D(f) of
{V11,V12}=6
“V’ denotes the vertices of the Graph
Denotes the Domination Set
v1 v2
v3
v4
v5
v6
v7
v8
v9
v10
v11 c12
Integrated Intelligent Research (IIR) International Journal of Computing Algorithm
Volume: 03 Issue: 03 December 2014 Pages: 324-327
ISSN: 2278-2397
327
There are 9 possible balanced singed graphs which could be
formed from the above B5 graph.
Where ‘t’ is number Of vertices t=12
D(f)≤ ½ (12)² -
D(f) ≤ 72 – c(41.56) :- where c is some Positive constant
D(f)≤ 72 :- where c is Zero
D(f)≤ 72 – (41.56)c :- where c is some Negative constant
Thus the condition satisfies
III. CONCLUSION
We have proved that some splitting graphs of Standard graph
are with Domination Number on balanced signed graph
conditions. We found out that, Banana Tree and Friendship
graphs has single Connected domination number on Balanced
signed graphs, and Butterfly Network, Book Graph has two
connected domination number on Balanced signed graphs. And
hence satisfied the conditions of Balanced Signed Bipartite
Graph.
REFERENCES
[1] J.Akiyama ,D.Avis and V. Chvatal, on Balanced signed Graphs, 27th
march 1980, and Received 12 February 1981
[2] R.P. Abelson and M.J. Rosenberg, Symbolic psycho-logic: a model of
attitudinal cognition,Behavior Sci. 3 (1958) 1-13.
[3] V. Chvatal, The tail of the hypergeometric distribution, Discrete Math.
25 (1979) 285-287.
[4] C. Flament, Application of Graph Theory to Group Structure (Prentice-
Hall, Englewood Cliffs,N.J., 1963).
[5] M.R. Carey and D.S. Johnson, Computers and intractability, A guide to
the theory of NP-completeness(W.H. Freeman, San Francisco, 1979).
[6] M.R. Carey, D.S. Johnson and L. Stockmeyer, Some simplified NP-
complete graph problems,Theoretical Comp. Sci. 1 (1976) 237-267.
[7] P.L. Hammer, Pseudo-Boolean remarks on balanced graphs, Ser.
Internation. Anal.Numer.,Suisse 36 (1977) 69-78.
[8] Y. Caro, R. Yuster, and D. B. West, Connected domination and
spanning trees, SIAM J. Discrete Math. 13 (2000), 202–211.
[9] J. E. Dunbar, T. W. Haynes and S. T. Hedetniemi, Nordhaus-Gaddum
bounds for dominationsum in graphs with specified minimum degree,
Util. Math. 67 (2005) 97-105.
[10] J. R. Griggs and M. Wu, Spanning trees in graphs of minimum degree 4
or 5, Discrete Math.104 (1992), pp. 167–183.
[11] S. T. Hedetniemi and R. C. Laskar, Connected domination in graphs, In
B. Bollob´as, editor,Graph Theory and Combinatorics. Academic Press,
London, 1984.
[12] J. P. Joseph and S. Arumugam, Domination in graphs, Internat. J.
Management Systems 11(1995) 177-182.
[13] F. Jaeger and C. Payan, Relations du type Nordhais-Gaddum pour le
nombred’absorptiond’un graphe simple, C. R. Acad. Sci. Paris S´er. A
274 (1972) 728-730.
[14] D.J. Kleitman and D.B. West, Spanning trees with many leaves, SIAM
J. Discrete Math. 4 (1991),pp. 99–106.
[15] E. A. Nordhaus and J. W. Gaddum On complementary graphs, Amer.
Math. Monthly 63 (1956),pp. 175–177.
[16] E. Sampathkumar and H.B. Walikar, The connected domination number
of a graph, J. Math.Phys. Sci. 13(6) (1979), pp. 607–613.
[17] Azania S.1990.A fuzzy approach to the measurement of poverty .In:
Income and Cerioli wealth distribution, inequality and poverty (diagram
cozenage m, ends).272-284,springer-verlag, Newyork ,USA
[18] Faiz A, weaver cess, Walsh mp.1996.Air pollution from motor
controlling emissions. World bank, Washington DC,USA
[19] Hayati H, safari MH, 2012 impact of tall buildings in environmental
pollution. Environmental sceptics and critics, 1(1):8-11.
[20] Ferrarini A, 2011 a. A new fuzzy algorithm for ecological ranking.
Computational ecology and software, 1(3):186-188.

Weitere ähnliche Inhalte

Ähnlich wie Domination Number on Balanced Signed Graphs

Strong (Weak) Triple Connected Domination Number of a Fuzzy Graph
Strong (Weak) Triple Connected Domination Number of a Fuzzy GraphStrong (Weak) Triple Connected Domination Number of a Fuzzy Graph
Strong (Weak) Triple Connected Domination Number of a Fuzzy Graphijceronline
 
The Total Strong Split Domination Number of Graphs
The Total Strong Split Domination Number of GraphsThe Total Strong Split Domination Number of Graphs
The Total Strong Split Domination Number of Graphsinventionjournals
 
Graph Introduction.ppt
Graph Introduction.pptGraph Introduction.ppt
Graph Introduction.pptFaruk Hossen
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
 
Equi independent equitable domination number of cycle and bistar related graphs
Equi independent equitable domination number of cycle and bistar related graphsEqui independent equitable domination number of cycle and bistar related graphs
Equi independent equitable domination number of cycle and bistar related graphsiosrjce
 
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYFransiskeran
 
On algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetryOn algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetrygraphhoc
 
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESTHE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESgraphhoc
 
Graph Theory,Graph Terminologies,Planar Graph & Graph Colouring
Graph Theory,Graph Terminologies,Planar Graph & Graph ColouringGraph Theory,Graph Terminologies,Planar Graph & Graph Colouring
Graph Theory,Graph Terminologies,Planar Graph & Graph ColouringSaurabh Kaushik
 
Ce31342345
Ce31342345Ce31342345
Ce31342345IJMER
 
To find a non-split strong dominating set of an interval graph using an algor...
To find a non-split strong dominating set of an interval graph using an algor...To find a non-split strong dominating set of an interval graph using an algor...
To find a non-split strong dominating set of an interval graph using an algor...IOSR Journals
 
EVEN GRACEFUL LABELLING OF A CLASS OF TREES
EVEN GRACEFUL LABELLING OF A CLASS OF TREESEVEN GRACEFUL LABELLING OF A CLASS OF TREES
EVEN GRACEFUL LABELLING OF A CLASS OF TREESFransiskeran
 
Graph theory and life
Graph theory and lifeGraph theory and life
Graph theory and lifeMilan Joshi
 

Ähnlich wie Domination Number on Balanced Signed Graphs (20)

Strong (Weak) Triple Connected Domination Number of a Fuzzy Graph
Strong (Weak) Triple Connected Domination Number of a Fuzzy GraphStrong (Weak) Triple Connected Domination Number of a Fuzzy Graph
Strong (Weak) Triple Connected Domination Number of a Fuzzy Graph
 
The Total Strong Split Domination Number of Graphs
The Total Strong Split Domination Number of GraphsThe Total Strong Split Domination Number of Graphs
The Total Strong Split Domination Number of Graphs
 
Graph Introduction.ppt
Graph Introduction.pptGraph Introduction.ppt
Graph Introduction.ppt
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Equi independent equitable domination number of cycle and bistar related graphs
Equi independent equitable domination number of cycle and bistar related graphsEqui independent equitable domination number of cycle and bistar related graphs
Equi independent equitable domination number of cycle and bistar related graphs
 
Aj26225229
Aj26225229Aj26225229
Aj26225229
 
Graph theory
Graph theoryGraph theory
Graph theory
 
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
 
Stochastic Processes Homework Help
Stochastic Processes Homework Help Stochastic Processes Homework Help
Stochastic Processes Homework Help
 
H0431038048
H0431038048H0431038048
H0431038048
 
Graphs.pdf
Graphs.pdfGraphs.pdf
Graphs.pdf
 
On algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetryOn algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetry
 
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESTHE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
 
Graph Theory,Graph Terminologies,Planar Graph & Graph Colouring
Graph Theory,Graph Terminologies,Planar Graph & Graph ColouringGraph Theory,Graph Terminologies,Planar Graph & Graph Colouring
Graph Theory,Graph Terminologies,Planar Graph & Graph Colouring
 
Ce31342345
Ce31342345Ce31342345
Ce31342345
 
B0620510
B0620510B0620510
B0620510
 
To find a non-split strong dominating set of an interval graph using an algor...
To find a non-split strong dominating set of an interval graph using an algor...To find a non-split strong dominating set of an interval graph using an algor...
To find a non-split strong dominating set of an interval graph using an algor...
 
EVEN GRACEFUL LABELLING OF A CLASS OF TREES
EVEN GRACEFUL LABELLING OF A CLASS OF TREESEVEN GRACEFUL LABELLING OF A CLASS OF TREES
EVEN GRACEFUL LABELLING OF A CLASS OF TREES
 
Graph theory and life
Graph theory and lifeGraph theory and life
Graph theory and life
 

Mehr von MangaiK4

Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...
Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...
Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...MangaiK4
 
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...MangaiK4
 
High Speed Low-Power Viterbi Decoder Using Trellis Code Modulation
High Speed Low-Power Viterbi Decoder Using Trellis Code ModulationHigh Speed Low-Power Viterbi Decoder Using Trellis Code Modulation
High Speed Low-Power Viterbi Decoder Using Trellis Code ModulationMangaiK4
 
Relation Extraction using Hybrid Approach and an Ensemble Algorithm
Relation Extraction using Hybrid Approach and an Ensemble AlgorithmRelation Extraction using Hybrid Approach and an Ensemble Algorithm
Relation Extraction using Hybrid Approach and an Ensemble AlgorithmMangaiK4
 
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy Logic
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy LogicSaturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy Logic
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy LogicMangaiK4
 
Image Based Password using RSA Algorithm
Image Based Password using RSA AlgorithmImage Based Password using RSA Algorithm
Image Based Password using RSA AlgorithmMangaiK4
 
A Framework for Desktop Virtual Reality Application for Education
A Framework for Desktop Virtual Reality Application for EducationA Framework for Desktop Virtual Reality Application for Education
A Framework for Desktop Virtual Reality Application for EducationMangaiK4
 
Smart Security For Data Sharing In Cloud Computing
Smart Security For Data Sharing In Cloud ComputingSmart Security For Data Sharing In Cloud Computing
Smart Security For Data Sharing In Cloud ComputingMangaiK4
 
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining ApproachBugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining ApproachMangaiK4
 
Motion Object Detection Using BGS Technique
Motion Object Detection Using BGS TechniqueMotion Object Detection Using BGS Technique
Motion Object Detection Using BGS TechniqueMangaiK4
 
Encroachment in Data Processing using Big Data Technology
Encroachment in Data Processing using Big Data TechnologyEncroachment in Data Processing using Big Data Technology
Encroachment in Data Processing using Big Data TechnologyMangaiK4
 
Performance Evaluation of Hybrid Method for Securing and Compressing Images
Performance Evaluation of Hybrid Method for Securing and Compressing ImagesPerformance Evaluation of Hybrid Method for Securing and Compressing Images
Performance Evaluation of Hybrid Method for Securing and Compressing ImagesMangaiK4
 
A Review on - Data Hiding using Cryptography and Steganography
A Review on - Data Hiding using Cryptography and SteganographyA Review on - Data Hiding using Cryptography and Steganography
A Review on - Data Hiding using Cryptography and SteganographyMangaiK4
 
Modeling Originators for Event Forecasting Multi-Task Learning in Mil Algorithm
Modeling Originators for Event Forecasting Multi-Task Learning in Mil AlgorithmModeling Originators for Event Forecasting Multi-Task Learning in Mil Algorithm
Modeling Originators for Event Forecasting Multi-Task Learning in Mil AlgorithmMangaiK4
 
quasi-uniform theta graph
quasi-uniform theta graphquasi-uniform theta graph
quasi-uniform theta graphMangaiK4
 
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...The Relationship of Mathematics to the Performance of SHCT it Students in Pro...
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...MangaiK4
 
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...MangaiK4
 
Marine Object Recognition using Blob Analysis
Marine Object Recognition using Blob AnalysisMarine Object Recognition using Blob Analysis
Marine Object Recognition using Blob AnalysisMangaiK4
 
Implementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAImplementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAMangaiK4
 
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...MangaiK4
 

Mehr von MangaiK4 (20)

Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...
Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...
Application of Ancient Indian Agricultural Practices in Cloud Computing Envir...
 
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...
A Study on Sparse Representation and Optimal Algorithms in Intelligent Comput...
 
High Speed Low-Power Viterbi Decoder Using Trellis Code Modulation
High Speed Low-Power Viterbi Decoder Using Trellis Code ModulationHigh Speed Low-Power Viterbi Decoder Using Trellis Code Modulation
High Speed Low-Power Viterbi Decoder Using Trellis Code Modulation
 
Relation Extraction using Hybrid Approach and an Ensemble Algorithm
Relation Extraction using Hybrid Approach and an Ensemble AlgorithmRelation Extraction using Hybrid Approach and an Ensemble Algorithm
Relation Extraction using Hybrid Approach and an Ensemble Algorithm
 
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy Logic
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy LogicSaturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy Logic
Saturation Throughput and Delay Aware Asynchronous Noc Using Fuzzy Logic
 
Image Based Password using RSA Algorithm
Image Based Password using RSA AlgorithmImage Based Password using RSA Algorithm
Image Based Password using RSA Algorithm
 
A Framework for Desktop Virtual Reality Application for Education
A Framework for Desktop Virtual Reality Application for EducationA Framework for Desktop Virtual Reality Application for Education
A Framework for Desktop Virtual Reality Application for Education
 
Smart Security For Data Sharing In Cloud Computing
Smart Security For Data Sharing In Cloud ComputingSmart Security For Data Sharing In Cloud Computing
Smart Security For Data Sharing In Cloud Computing
 
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining ApproachBugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approach
 
Motion Object Detection Using BGS Technique
Motion Object Detection Using BGS TechniqueMotion Object Detection Using BGS Technique
Motion Object Detection Using BGS Technique
 
Encroachment in Data Processing using Big Data Technology
Encroachment in Data Processing using Big Data TechnologyEncroachment in Data Processing using Big Data Technology
Encroachment in Data Processing using Big Data Technology
 
Performance Evaluation of Hybrid Method for Securing and Compressing Images
Performance Evaluation of Hybrid Method for Securing and Compressing ImagesPerformance Evaluation of Hybrid Method for Securing and Compressing Images
Performance Evaluation of Hybrid Method for Securing and Compressing Images
 
A Review on - Data Hiding using Cryptography and Steganography
A Review on - Data Hiding using Cryptography and SteganographyA Review on - Data Hiding using Cryptography and Steganography
A Review on - Data Hiding using Cryptography and Steganography
 
Modeling Originators for Event Forecasting Multi-Task Learning in Mil Algorithm
Modeling Originators for Event Forecasting Multi-Task Learning in Mil AlgorithmModeling Originators for Event Forecasting Multi-Task Learning in Mil Algorithm
Modeling Originators for Event Forecasting Multi-Task Learning in Mil Algorithm
 
quasi-uniform theta graph
quasi-uniform theta graphquasi-uniform theta graph
quasi-uniform theta graph
 
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...The Relationship of Mathematics to the Performance of SHCT it Students in Pro...
The Relationship of Mathematics to the Performance of SHCT it Students in Pro...
 
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...
A Tentative analysis of Liver Disorder using Data Mining Algorithms J48, Deci...
 
Marine Object Recognition using Blob Analysis
Marine Object Recognition using Blob AnalysisMarine Object Recognition using Blob Analysis
Marine Object Recognition using Blob Analysis
 
Implementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAImplementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGA
 
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...
Renewable Energy Based on Current Fed Switched Inverter for Smart Grid Applic...
 

Kürzlich hochgeladen

SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structuredhanjurrannsibayan2
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024Elizabeth Walsh
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Pooja Bhuva
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxRamakrishna Reddy Bijjam
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxJisc
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxAmanpreet Kaur
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxCeline George
 

Kürzlich hochgeladen (20)

SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 

Domination Number on Balanced Signed Graphs

  • 1. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 03 December 2014 Pages: 324-327 ISSN: 2278-2397 324 Domination Number on Balanced Signed Graphs R.Malathi1 ,A.Alwin2 1 Asst.Prof, 2 M.Phil Scholar Dept of Mathematics, ScsvmvUniveristy, Enathur, Kanchipuram, Tamil Nadu Email Id:malathihema@yahoo.co.in, alwin.best111@gmail.com Abstrac: - A signed graph based on F is an ordinary graph F with each edge marked as positive or negative. Such a graph is called balanced if each of its cycles includes an even number of negative edges. We find the domination set on the vertices, on bipartite graphs and show that graphs has domination Number on signed graphs, such that a signed graph G may be converted into a balanced graph by changing the signs of d edges. We investigate the number D(F) defined as the largest d(G) such that G is a signed graph based on F. If F is the completebipartite graph with t vertices in each part, then D(f)≤ ½ t² - for some positive constant c. I. DEFINITION Hoff man Graph:The Hoffman graph is the bipartite graph on 16 nodes and 32 edges illustrated above that is cospectral to thetesseract graph (Hoffman 1963, van Dam and Haemers 2003). and the Hoffman graph are therefore not determined by their spectrum. Its girth, graph diameter, graph spectrum, and characteristic polynomial are the same as those of , but its graph radius is 3 compared to the value 4 for .In graph theory, a dominating set for a graph G = (V, E) is a subset D of V such that every vertex not in D is adjacent to at least one member of D. The domination number γ(G) is the number of vertices in a smallest dominating set for G. v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 ‘V’ Denotes the vertices, ‘ ’ denotes the domination set D(f) Of{V1,V2,V3,V4,V5,V6,V7,V8} = 4 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 Figure: domination number on balanced signed bipartite e graph II. ILLUSTRATION There are 17 possible balanced signed graphs on this hoffman’s bipartite graphAccording to the definition, D(f) ≤ ½ t² - Where ‘t’ is number Of vertices t=16 D(f)≤ ½ (16)² - D(f)≤ ½(256) –c(64) D(f)≤ 128 – (64)c :- where c is some Positive constant D(f)≤ 128 :- where c is Zero D(f)≤ 128 – (64)c :- where c is some Negative constant Thus the condition satisfies A complete bipartite graph is a circulant graph (Skiena 1990, p. 99), Specifically , where is the floor function. v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10
  • 2. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 03 December 2014 Pages: 324-327 ISSN: 2278-2397 325 “V’ denotes the vertices of the Graph Denotes the Domination Set D(f) of { V1,V2,V3,V4,V5,V6,V7,V8,V9,V10} =5 There are 21 possible balanced signed graphs on this bipartite graph K10,10 According to the definition, D(f) ≤ ½ t² - Where ‘t’ is number Of vertices t=40 D(f)≤ ½ (40)² - D(f)≤ 800 - c(252.98) :- where c is some Positive constant D(f)≤ 800 :- where c is Zero D(f)≤ 800 – (252.98)c :- where c is some Negative constant Thus the condition satisfies The Following Graphs are the Single connected domination number Balanced Signed Graphs: An (n,k) -banana tree, as defined by Chen et al. (1997), is a graph obtained by connecting one leaf of each of n copies of an k Star Graph with a single root vertex that is distinct from all the stars. The ( n , k)-banana tree has Rank Polynomial R(x) = (1 + x) nk v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 v18 v19 v20 v21 v22 v23 v24 v25 v26 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 v18 v19 v20 v21 v22 v23 v24 v25 v26 “V’ denotes the vertices of the Graph Denotes the Domination Set There are 14possible balanced singed graphs which could be formed from the above B(5,5) graph. Where ‘t’ is number Of vertices t=26 D(f)≤ ½ (26)² - D(f) ≤ 338 – (132.57) c:- where c is some Positive constant D(f)≤ 338 :- where c is Zero D(f)≤ 338 – (132.57)c :- where c is some Negative constant Thus the condition satisfies Friendship Graph: The Friendship Graph is denoted by Fn. Where the below figure is F8. Vertices 2n+1, and Edges 3n. v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 “V’ denotes the vertices of the Graph Denotes the Domination Set v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17
  • 3. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 03 December 2014 Pages: 324-327 ISSN: 2278-2397 326 D(f) of { V1,V2,……..V16} = 2 and D(f) Of {V17}=16 There are 13 possible balanced singed graphs which could be formed from the above F8 graph. Where ‘t’ is number Of vertices t=17 D(f)≤ ½ (17)² - D(f) ≤ 144.5 - c(70.09) :- where c is some Positive constant D(f)≤ 144.5 :- where c is Zero D(f)≤ 144.5 – (70.09)c :- where c is some Negative constant Thus the condition satisfies The Following are the Twoconnected domination number balanced signed graphs: Butterfly Networks The n-dimensional butterfly graph has 2n (n+1) vertices and 2n+1 n edges.BF (2) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 “V’ denotes the vertices of the Graph Denotes the Domination Set v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 D(f) of {V1,V3,V4,V6,V7,V9,V10,V12} = 2 and D(f) of { V2,V5,V8,V11} =4 There are 9 possible balanced singed graphs which could be formed from the above BF2 graph. Where ‘t’ is number Of vertices t=12 D(f)≤ ½ (12)² - D(f) ≤ 72 – c(41.56) :- where c is some Positive constant D(f)≤ 72 :- where c is Zero D(f)≤ 72 – (41.56)c :- where c is some Negative constant . Thus the condition satisfies Book Graph: The -book graph is defined as the graph Cartesian product , where is a star graph and is the path graph on two nodes. The generalization of the book graph to "stacked" pages is the -stacked book graph v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 c12 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 c12 D(f) of { V1,V2,V3,V4,V5,V6,V7,V8,V9,V10} = 2 and D(f) of {V11,V12}=6 “V’ denotes the vertices of the Graph Denotes the Domination Set v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 c12
  • 4. Integrated Intelligent Research (IIR) International Journal of Computing Algorithm Volume: 03 Issue: 03 December 2014 Pages: 324-327 ISSN: 2278-2397 327 There are 9 possible balanced singed graphs which could be formed from the above B5 graph. Where ‘t’ is number Of vertices t=12 D(f)≤ ½ (12)² - D(f) ≤ 72 – c(41.56) :- where c is some Positive constant D(f)≤ 72 :- where c is Zero D(f)≤ 72 – (41.56)c :- where c is some Negative constant Thus the condition satisfies III. CONCLUSION We have proved that some splitting graphs of Standard graph are with Domination Number on balanced signed graph conditions. We found out that, Banana Tree and Friendship graphs has single Connected domination number on Balanced signed graphs, and Butterfly Network, Book Graph has two connected domination number on Balanced signed graphs. And hence satisfied the conditions of Balanced Signed Bipartite Graph. REFERENCES [1] J.Akiyama ,D.Avis and V. Chvatal, on Balanced signed Graphs, 27th march 1980, and Received 12 February 1981 [2] R.P. Abelson and M.J. Rosenberg, Symbolic psycho-logic: a model of attitudinal cognition,Behavior Sci. 3 (1958) 1-13. [3] V. Chvatal, The tail of the hypergeometric distribution, Discrete Math. 25 (1979) 285-287. [4] C. Flament, Application of Graph Theory to Group Structure (Prentice- Hall, Englewood Cliffs,N.J., 1963). [5] M.R. Carey and D.S. Johnson, Computers and intractability, A guide to the theory of NP-completeness(W.H. Freeman, San Francisco, 1979). [6] M.R. Carey, D.S. Johnson and L. Stockmeyer, Some simplified NP- complete graph problems,Theoretical Comp. Sci. 1 (1976) 237-267. [7] P.L. Hammer, Pseudo-Boolean remarks on balanced graphs, Ser. Internation. Anal.Numer.,Suisse 36 (1977) 69-78. [8] Y. Caro, R. Yuster, and D. B. West, Connected domination and spanning trees, SIAM J. Discrete Math. 13 (2000), 202–211. [9] J. E. Dunbar, T. W. Haynes and S. T. Hedetniemi, Nordhaus-Gaddum bounds for dominationsum in graphs with specified minimum degree, Util. Math. 67 (2005) 97-105. [10] J. R. Griggs and M. Wu, Spanning trees in graphs of minimum degree 4 or 5, Discrete Math.104 (1992), pp. 167–183. [11] S. T. Hedetniemi and R. C. Laskar, Connected domination in graphs, In B. Bollob´as, editor,Graph Theory and Combinatorics. Academic Press, London, 1984. [12] J. P. Joseph and S. Arumugam, Domination in graphs, Internat. J. Management Systems 11(1995) 177-182. [13] F. Jaeger and C. Payan, Relations du type Nordhais-Gaddum pour le nombred’absorptiond’un graphe simple, C. R. Acad. Sci. Paris S´er. A 274 (1972) 728-730. [14] D.J. Kleitman and D.B. West, Spanning trees with many leaves, SIAM J. Discrete Math. 4 (1991),pp. 99–106. [15] E. A. Nordhaus and J. W. Gaddum On complementary graphs, Amer. Math. Monthly 63 (1956),pp. 175–177. [16] E. Sampathkumar and H.B. Walikar, The connected domination number of a graph, J. Math.Phys. Sci. 13(6) (1979), pp. 607–613. [17] Azania S.1990.A fuzzy approach to the measurement of poverty .In: Income and Cerioli wealth distribution, inequality and poverty (diagram cozenage m, ends).272-284,springer-verlag, Newyork ,USA [18] Faiz A, weaver cess, Walsh mp.1996.Air pollution from motor controlling emissions. World bank, Washington DC,USA [19] Hayati H, safari MH, 2012 impact of tall buildings in environmental pollution. Environmental sceptics and critics, 1(1):8-11. [20] Ferrarini A, 2011 a. A new fuzzy algorithm for ecological ranking. Computational ecology and software, 1(3):186-188.