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Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 01 June 2015,Pages No.53- 56
ISSN: 2278-2400
53
A Study of Five Knowledge Variables of Education
Using Weighted Multi-Expert Neural Networks
A.Victor Devadoss1
, M. Clement Joe Anand2
, E. Mike Dison3
1
Head & Associate Professor, Department of Mathematics, Loyola College, Chennai, India.
Ph. D Research Scholar, Department of Mathematics, Loyola College, Chennai, India.
3
M.Sc Mathematics, Department of Mathematics,Loyola College, Chennai, India
Abstract-A series of studies had been undergone by various
resource person about, how the education been play a vital role
in nations happiness. This paper describes the five knowledge
variables(knowledge of local legends and folk stories,
knowledge of local festivals (tshechus), knowledge of
traditional songs, knowledge of HIV-AIDS transmission, and
knowledge of the Constitution.) and also it discusses the
variation of knowledge variables in both India and Bhutan.
Mainly, it explores and discusses the expert views about these
knowledge variables. And this process is done by using
Weighted Multi-Expert neural network systems.
Keywords :Folktale; Monastic.
I. INTRODUCTION
Buddhist philosophy defines happiness as the welfare that
springs from the union of the physical and the spiritual. And
the main thing that happiness defines the ‘human well-being’.
Happiness, in the context of Bhutanese culture, also may be
described as the elimination of human suffering (Aris 1994).
Education established an instrumental approach that remains a
key vehicle for productivity, employment, higher earning,
ethical values (Ura 2009). education indicator includes the
cultivation and transmission of values (Wangyal 2001). Many
studies been done by various resource scholars through out the
different part of the world about the value education((Lupton
and Power 2005; Fagan and Davies 2007; Friedman 2010).
Specifically this approach known as ‘values education’ has
been recently introduced across Bhutan (Ura 2009).This is
further emphasised in Bhutan’s constitution which states that
the country ‘…shall endeavour to provide education for the
purpose of improving and increasing knowledge, values and
skills of the entire population with education being directed
towards the full development of the human personality.’ And
the purpose of values education is to improving and increasing
knowledge and also its also strengthen values and skills entire
population and it helps in development of human personality.
So Education, fully dealt with imparting knowledge.
Knowledge plays a vital role in developing one personality,
developing the moral values, developing the thinking capacity,
and all this provides a real happiness and lead to a happy life.
Literacy, educational qualification, knowledge, values are the
four holistic aspects of education (Ura 2009, The centre for
Bhutan Studies). Education means, the first thing come to our
mind is school education, apart from the school education,
communities and families also plays very crucial role in
developing the socialistic and moral values among the human
and both of this also impart happiness in one’s life. Literacy is
theabilityto read forknowledge, write coherently,and think criti
cally about the written word. Visual literacy includes in
addition the ability to understand all forms of communication,
be it body language, pictures, maps, or video. Evolving
definitions of literacy often include all the symbol systems
relevant to a particular community. Literacy encompasses a
complex set of abilities to understand and use the dominant
symbol systems of a culture for personal and community
development. In a technological society, the concept of literacy
is expanding to include the media and electronic text, in
addition to alphabetic and number systems. These abilities vary
in different social and cultural contexts according to need and
demand. Literacy is the knowledge of reading and writing of
any language. This is a basic necessity that every individual
requires to keep him/her aware of things happening around
them. This keeps the person more approachable and sociable.
Literacy not by itself qualifies an individual to be educated.
There we need some educational qualification to uplift and
fulfil the human values. There are different types of
educational systems in the world. Mainly the education system
classified into three major division namely Formal education,
non-formal education , non-secular institution(monastic
schools, traditional type). Apart from this three many
programmes also have been develop the knowledge, mainly
Adult educational programmes and programmes for disabled.
Whereas in India, the educational qualification has raised its
benchmark from graduation to post graduation as the primary
need to qualify a person in many of the employment markets.
The state shall provide free education to all children of school
going age up to tenth standard (Constitution of Bhutan, 2008).
As the same many plans been put forward for increasing the
education percentage. So in final all the educational system
enhances the knowledge, and next is the knowledge variables:
how the knowledge has been portrayed. The five knowledge
variables is referred to as: knowledge of local legends and
folktales, knowledge of local festivals, knowledge of
traditional songs, knowledge of HIV-AIDS transmission and
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 01 June 2015,Pages No.53- 56
ISSN: 2278-2400
54
knowledge of constitution (Kinga,2001). All the above
knowledge variables are mainly of traditional type of
educational system. Folklore consists
of legends, music, oralhistory, proverbs, jokes, popular
beliefs, fairy tales, stories, tall tales, and customs that are the
traditions of a culture, subculture, or group. It is also the set of
practices through which those expressive genres are shared.
Folktales:
Folktales medium of communicating social ideals, values,
morals and philosophy. Bhutanese folktales mission of
cultivating Buddhist values and virtues in common man’s life.
Entertainment is their aim but in a way that contributes to the
well-being and happiness of the society.
Traditional education system:
The Traditional (monastic) education system was not
accessible to everyone. Besides this, the strict administration in
traditional education disinterested adolescents. Some would
run away or others would give up for the sake of establishing
family. On top of all these facts, social structure also demanded
some people to work in fields and at home. If everybody
became a geylong (monk) or lama and devoted themselves to
scriptures and spiritualism, then one question be araised. If all
were become monks or lamas means, then who will be look
over social works. Sex was another discrimination in monastic
education. Females were not privileged to pursue monastic
education, this has been stated as the monastic education
system that provided Buddhist education was accessible only
to a few privileged families. Women were excluded with
exception of a few nuns.( Dorji Penjore).
Objective: Trace the positioning of common man and his life
in the folktales. Now a days through out the world western type
of education been follows. And at the same way these type of
education fulfil the human needs, and it plays a crucial role in
obtaining good valued knowledge. Before western type of
education, traditional type grown a vast in all part of the world.
As we explained early in this paper, there are mainly six
knowledge variables.
II. INTRODUCTION TO WEIGHTED MULTI
EXPERT NEURAL NETWORK
Definition: 1.1
A neural network is a computational structure that is inspired
by observed process in natural network of biological neurons
in the brain. It consists of simple computational units, called
neurons that are highly interconnected. Each interconnection
has a strength that is expressed by a number referred as weight.
Definition: 1.2
The bias defines the value of the weighted sum of inputs
around which the output of neuron is most sensitive to changes
in the sum. Now we proceed on to define the notion of
Weighted Multi Expert Neural Network. In Neural Network
bias plays an important role. So we take the bias as an input
with value – 1 and its corresponding weight is the sum of the
average of the other input weights. In general, using this newly
constructed Weighted Multi Expert Neural Network (Wt.
M.E.N.N.), we can extend to `n’ number of experts. The class
of sigmoid function Sb, defined by the formula.
1
( ) (1 exp{ })
S a a
  
  
Then, the output of the neuron is defined by
1
( )
n
i i
i
Y S W X
 

 

Two equivalent representation of a neuron activated by a
sigmoid function with bias  where b is a positive constant
(Steepness parameter), q is called the bias of the neuron, since
q the bias is considered as an input, 1
o
X   and the
associated weight o
W 
 .
Then the output now is given by
1
( )
n
i i
i
Y S W X


 
Where, i
W is the weights given by the experts and
1
( ) (1 exp{ })
S a a
  
  
The multi expert neural network system with opinion’s weights
III. DESCRIPTION
Mainly the GROSS NATIONAL HAPPINESS attains the
higher level in BHUTAN and this makes the people comes
together to protect themselves and to live a life with peace and
harmony. In today’s life, Education is one of the main
benefactors, that everybody must attain it to some extent. Then
education, not only by means of getting good knowledge and
not only by scoring high marks. Its mainly depends only by
obtaining personal value and by gaining good moral thoughts
and also by serving the society where one must belong.
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 01 June 2015,Pages No.53- 56
ISSN: 2278-2400
55
Then, not only BHUTAN the exemption case, and well
developed in this GNH, all other countries, all over the
universe, many countries contribute to this beautiful concept.
This concept earns socio-economic development. And here,
this paper deals with the five knowledge variables, and also
how this GNH concept develops Socio-economic development
in education and how the experts looks this variables. And this
paper mainly underwent some survey on these knowledge
variables. Here the education attains by knowing these five
knowledge variables and also cultivate our mind to respond
them and pursuit the happiness. Here this paper encountered
the expert’s opinion about such knowledge variables and how
they practised that kind of knowledge variables in their day
today life and also how they visualize these variables in their
society. Same as BHUTAN, INDIA also have very traditional
backgrounds. Many places in India, these GNH concepts were
introduced by means of not knowing the proper meaning of
that. But it still practised here a lot. Many non-governmental
organisation were took part in this concept and they provide a
better education to the young pupils.When dealing with these
knowledge variables, one can easily understand their own
culture, and also they start to reflect their own culture and they
did not forget it too. In Bhutan, these kinds of knowledge
variables all are highly valued. And in the same kind many
countries developed their nation to a long extent with these
kinds of knowledge variables.
IV. MOTIVATION
This knowledge variable teaches good values and motivates
each one of us to promote HAPPINESS. The following points
would be the vital key points to motivate oneself for their
better reflection in these variables. They are the
following:Usually the stories of local legends, strengthens the
community by folktales have been a medium of
communicating social ideals, values, morals and philosophy.
Bhutanese folktales involve a mission of cultivating Buddhist
values and virtues in common man’s life. Entertainment is their
aim but in a way that contributes to the well-being and
happiness of the society in the long run. Folksongs too have
served as media with mission but they differ from folktales not
only in terms of content and form but also in terms of life and
pattern, treatment of subjects and flexibility. Folktales have
been a tool for Bhutanese society to transfer ideals and values
from one generation to another via entertainment. The main
objective of the folktales is to trace the positioning of common
man and his life in the folktales. The process of story telling in
Bhutan has been attested by Kunzang Choden and Tandin
Dorji. Choden says “In Bhutanese tradition stories, fables and
legends are not told but are unraveled (shigai in Bumthangkha)
and released (tangshi in Dzongkha)…these concept of
releasing and unraveling are invested with much significance.
These terms, shigai or tangshi, are related to information,
which implies that our folktales are media with a mission of
dissemination of information and transfer of knowledge along
with entertainment.
Educational aspects of folklore:
Folklore is mainly contribution in the shaping of the society if
education is a philosophical concept imbibing ideals of
equality, freedom, justice and harmony, then the process of
folktale narration is also a type of education. In such a social
scenario it became very necessary to impart basic education
about social values, prevailing beliefs, common sense, general
knowledge and religious values to those underprivileged ones.
Folktales shared this responsibility as a media not only for
entertainment but also for education. list of traditional
media(Dasho Kinley Dorji): Bhutan- the mani walls, prayer
flags, the festivals and dances.
V. ADAPTATION OF THE WT.M.E.N.N. TO THE
PROBLEM
Here we describe the opinion given by the experts with the
assumed notations and construct the neural network based on
that:
1
X knowledge of local legends and folktales
2
X knowledge of local festivals
3
X knowledge of traditional songs
4
X knowledge of HIV-AIDS transmission
5
X knowledge of constitution
Each input X0, X1, ... , X5 are associated with real numbers
called the weights, namely W0, W1, ... , W5 whose value lie in
the interval [0,1]. We have obtained 7 experts opinion, the
corresponding weightage are given by the following table:
The average of the weightage are given by the experts namely
E1, E2… E7.
1
E 2
E 3
E 4
E 5
E 6
E 7
E
0.76 0.72 0.66 0.79 0.83 0.75 0.76
By taking the input as the average of the weightage given by
the experts and the value of bias is kept as in the case of neural
network to be –1 .
0
X 1
X 2
X 3
X 4
X 5
X
0
W 1
W 2
W 3
W 4
W 5
W
E1 0.67 0.91 0.83 0.78 0.65 0.73
E2 0.83 0.55 0.94 0.62 0.71 0.65
E3 0.61 0.73 0.83 0.52 0.69 0.59
E4 0.74 0.88 0.92 0.67 0.81 0.70
E5 0.89 0.95 0.67 0.75 0.91 0.78
E6 0.93 0.67 0.71 0.56 0.87 0.76
E7 0.77 0.93 0.68 0.81 0.69 0.65
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 01 June 2015,Pages No.53- 56
ISSN: 2278-2400
56
-1 0.8 0.79 0.67 0.76 0.69
In general, using this newly constructed Weighted Multi
Expert Neural Network (Wt.M.E.N.N.), we can extend to 7
number of experts say E1, E2, … , E7 and their corresponding
output is given by,
1
( )
n
i i i
i
Y S W X


  ,
where Wi is the weights given by the experts and
1
( ) (1 exp{ })
S a a
  
  
We now model this by the weighted multi expert neural
network (Wt.M.E.N.N) and in our opinion this Wt.M.E.N.N,
takes the weight of every expert equally even before the data is
processed for result.The multi expert neural network system of
experts opinion with weightages of the seven experts From the
output, we see that the overall opinion of the experts regarding
these knowledge variables to be > 0.5.Thus to make a fuzzy
analysis we using the same experts define the fuzzy set μ
taking the opinion of the experts, E1, … ,E7 as the universal
set E .The membership function μ given by the experts:μ : E ®
[0, 1] where E = {E1 … E7} where i = 1, 2, ..., 7Now using the
fuzzy membership grade given by the same experts and the
output got from the Wt.M.E.N.N., we draw itcomparison table
of fuzzy set value and it output from Wt. M.E.N.N.
Average
Weight
Wt.
M.E.N.N
Fuzzy Set Value
μ(E)
Difference between
Wt. M.E.N.N and
μ(E)
E1 0.76 0.90 1 0.10
E2 0.72 0.85 1 0.15
E3 0.66 0.87 1 0.13
E4 0.79 0.90 1 0.10
E5 0.83 0.89 1 0.11
E6 0.75 0.84 1 0.16
E7 0.76 0.88 1 0.12
VI. RESULTS
The above results shows that a very positive side of these
knowledge variables. All the experts were positively react to
these kind of education and also they assure that these
variables surely brings happiness to the society.
Future Discussions
Here this paper worked out the survey which is been given by
experts of different field, whether they are all happy by gaining
these kind of knowledge variables. This can be extended by
proving the same knowledge variables for the young
generations. Then it can be too extend by surveying for future
generations, and whether these knowledge variables been
present in the future or not. Due to the positive reaction by all
the experts, this concept of five knowledge variables is very
well appreciated by the society. Already BHUTAN reaches the
most permanent place in developing these knowledge
variables. The Bhutan stands ahead in developing these GNH.
May this paper appreciate the research scholars for further
work in developing the knowledge variables in their society
and leads their society with peace and happiness.
REFERENCES
[1] B. Kosko, “ Fuzzy Cognitive Maps”, International Journal of man-
machine studies, January, (1988), 62-75
[2] B. Kosko, “Hidden Patterns in combined and adaptive Knowledge
Networks”, Proc. Of the first, IEE International Conference on Neutral
Networks (ICNN-86(1988) 377-393).
[3] B. Kosko, “Neutral Networks and Fuzzy systems: A Dynamical System
Approach to Machine Intelligence”, Prentice Hall of India,1997.
[4] Buckley, J.J. and Y. Hayashi, “Fuzzy neural networks: a survey”, Fuzzy
sets and systems, 66(1), 1994d, 1-13.
[5] David kriesel, A Brief Introduction to
NeutralNetworks.http://www.dkriesel.com/en/science/neutral_networks.
[6] Dr.MarkHumphry,http://www.computing.dcu.ie/~humph
rys/Notes/Ne+ural/sigmoid.html
[7] George J. Klir and Bo Yuan, Fuzzy sets and fuzzy logic theory and
Applications, Prentice – Hall of India Private Limited, New Delhi,
1997.
[8] Hayashi, Y. J.J. Buckley and E.Czogala, Fuzzy neural network with
Fuzzy signals and weights, International Journal of Intelligent Systems,
Vol.8 (4), 1993,527 – 537.
[9] H. J. Zimmermann, “Fuzzy Set Theory and its application”, Fourth
Edition Springer 2011.
[10] Karma Ura, Sabina Alkire, Tshoki Zangmo, and Karma Wangdi, The
Centre for Bhutan Studies (2012).
[11] Narayanamoorthy, S., A Fuzzy Analysis Of The Socio Economic
Problems Faced By Bonded Labourers In Tamil Nadu, Unpublished
Ph.D Thesis, University of Madras, (2007).
[12] R. Axelrod, “Structure of decision: The cognitive maps of political
elites”. Princeton, N.J: Princeton University Press, 1976.
[13] Vasantha Kandasamy. W.B., Indira,V., “Applications of Fuzzy
Cognitive Maps to determine the MaximumUtility of Route”, Journal of
Fuzzy Maths. publ. by the International Fuzzy Mathematical Institute,
8( 5), 2000, 65-67.
[14] Vasantha Kandasamy. W.B., Antony Raj, S., and Victor Devadoss, A.
“Some new fuzzy techniques”, Journal of Math & Comp. Sci.
(Math.ser.), 17(2), 2004 , 157- 160.
[15] W. B. Vasantha Kandasamy and Smarandache Florentin, “Analysis of
social aspects of migrant labours living with HIV/AIDS using Fuzzy
Theory and Neutrosophic Cognitive Maps, Xi-quan, Phoenix (2004)

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A Study of Five Knowledge Variables of Education Using Weighted Multi-Expert Neural Networks

  • 1. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 01 June 2015,Pages No.53- 56 ISSN: 2278-2400 53 A Study of Five Knowledge Variables of Education Using Weighted Multi-Expert Neural Networks A.Victor Devadoss1 , M. Clement Joe Anand2 , E. Mike Dison3 1 Head & Associate Professor, Department of Mathematics, Loyola College, Chennai, India. Ph. D Research Scholar, Department of Mathematics, Loyola College, Chennai, India. 3 M.Sc Mathematics, Department of Mathematics,Loyola College, Chennai, India Abstract-A series of studies had been undergone by various resource person about, how the education been play a vital role in nations happiness. This paper describes the five knowledge variables(knowledge of local legends and folk stories, knowledge of local festivals (tshechus), knowledge of traditional songs, knowledge of HIV-AIDS transmission, and knowledge of the Constitution.) and also it discusses the variation of knowledge variables in both India and Bhutan. Mainly, it explores and discusses the expert views about these knowledge variables. And this process is done by using Weighted Multi-Expert neural network systems. Keywords :Folktale; Monastic. I. INTRODUCTION Buddhist philosophy defines happiness as the welfare that springs from the union of the physical and the spiritual. And the main thing that happiness defines the ‘human well-being’. Happiness, in the context of Bhutanese culture, also may be described as the elimination of human suffering (Aris 1994). Education established an instrumental approach that remains a key vehicle for productivity, employment, higher earning, ethical values (Ura 2009). education indicator includes the cultivation and transmission of values (Wangyal 2001). Many studies been done by various resource scholars through out the different part of the world about the value education((Lupton and Power 2005; Fagan and Davies 2007; Friedman 2010). Specifically this approach known as ‘values education’ has been recently introduced across Bhutan (Ura 2009).This is further emphasised in Bhutan’s constitution which states that the country ‘…shall endeavour to provide education for the purpose of improving and increasing knowledge, values and skills of the entire population with education being directed towards the full development of the human personality.’ And the purpose of values education is to improving and increasing knowledge and also its also strengthen values and skills entire population and it helps in development of human personality. So Education, fully dealt with imparting knowledge. Knowledge plays a vital role in developing one personality, developing the moral values, developing the thinking capacity, and all this provides a real happiness and lead to a happy life. Literacy, educational qualification, knowledge, values are the four holistic aspects of education (Ura 2009, The centre for Bhutan Studies). Education means, the first thing come to our mind is school education, apart from the school education, communities and families also plays very crucial role in developing the socialistic and moral values among the human and both of this also impart happiness in one’s life. Literacy is theabilityto read forknowledge, write coherently,and think criti cally about the written word. Visual literacy includes in addition the ability to understand all forms of communication, be it body language, pictures, maps, or video. Evolving definitions of literacy often include all the symbol systems relevant to a particular community. Literacy encompasses a complex set of abilities to understand and use the dominant symbol systems of a culture for personal and community development. In a technological society, the concept of literacy is expanding to include the media and electronic text, in addition to alphabetic and number systems. These abilities vary in different social and cultural contexts according to need and demand. Literacy is the knowledge of reading and writing of any language. This is a basic necessity that every individual requires to keep him/her aware of things happening around them. This keeps the person more approachable and sociable. Literacy not by itself qualifies an individual to be educated. There we need some educational qualification to uplift and fulfil the human values. There are different types of educational systems in the world. Mainly the education system classified into three major division namely Formal education, non-formal education , non-secular institution(monastic schools, traditional type). Apart from this three many programmes also have been develop the knowledge, mainly Adult educational programmes and programmes for disabled. Whereas in India, the educational qualification has raised its benchmark from graduation to post graduation as the primary need to qualify a person in many of the employment markets. The state shall provide free education to all children of school going age up to tenth standard (Constitution of Bhutan, 2008). As the same many plans been put forward for increasing the education percentage. So in final all the educational system enhances the knowledge, and next is the knowledge variables: how the knowledge has been portrayed. The five knowledge variables is referred to as: knowledge of local legends and folktales, knowledge of local festivals, knowledge of traditional songs, knowledge of HIV-AIDS transmission and
  • 2. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 01 June 2015,Pages No.53- 56 ISSN: 2278-2400 54 knowledge of constitution (Kinga,2001). All the above knowledge variables are mainly of traditional type of educational system. Folklore consists of legends, music, oralhistory, proverbs, jokes, popular beliefs, fairy tales, stories, tall tales, and customs that are the traditions of a culture, subculture, or group. It is also the set of practices through which those expressive genres are shared. Folktales: Folktales medium of communicating social ideals, values, morals and philosophy. Bhutanese folktales mission of cultivating Buddhist values and virtues in common man’s life. Entertainment is their aim but in a way that contributes to the well-being and happiness of the society. Traditional education system: The Traditional (monastic) education system was not accessible to everyone. Besides this, the strict administration in traditional education disinterested adolescents. Some would run away or others would give up for the sake of establishing family. On top of all these facts, social structure also demanded some people to work in fields and at home. If everybody became a geylong (monk) or lama and devoted themselves to scriptures and spiritualism, then one question be araised. If all were become monks or lamas means, then who will be look over social works. Sex was another discrimination in monastic education. Females were not privileged to pursue monastic education, this has been stated as the monastic education system that provided Buddhist education was accessible only to a few privileged families. Women were excluded with exception of a few nuns.( Dorji Penjore). Objective: Trace the positioning of common man and his life in the folktales. Now a days through out the world western type of education been follows. And at the same way these type of education fulfil the human needs, and it plays a crucial role in obtaining good valued knowledge. Before western type of education, traditional type grown a vast in all part of the world. As we explained early in this paper, there are mainly six knowledge variables. II. INTRODUCTION TO WEIGHTED MULTI EXPERT NEURAL NETWORK Definition: 1.1 A neural network is a computational structure that is inspired by observed process in natural network of biological neurons in the brain. It consists of simple computational units, called neurons that are highly interconnected. Each interconnection has a strength that is expressed by a number referred as weight. Definition: 1.2 The bias defines the value of the weighted sum of inputs around which the output of neuron is most sensitive to changes in the sum. Now we proceed on to define the notion of Weighted Multi Expert Neural Network. In Neural Network bias plays an important role. So we take the bias as an input with value – 1 and its corresponding weight is the sum of the average of the other input weights. In general, using this newly constructed Weighted Multi Expert Neural Network (Wt. M.E.N.N.), we can extend to `n’ number of experts. The class of sigmoid function Sb, defined by the formula. 1 ( ) (1 exp{ }) S a a       Then, the output of the neuron is defined by 1 ( ) n i i i Y S W X       Two equivalent representation of a neuron activated by a sigmoid function with bias  where b is a positive constant (Steepness parameter), q is called the bias of the neuron, since q the bias is considered as an input, 1 o X   and the associated weight o W   . Then the output now is given by 1 ( ) n i i i Y S W X     Where, i W is the weights given by the experts and 1 ( ) (1 exp{ }) S a a       The multi expert neural network system with opinion’s weights III. DESCRIPTION Mainly the GROSS NATIONAL HAPPINESS attains the higher level in BHUTAN and this makes the people comes together to protect themselves and to live a life with peace and harmony. In today’s life, Education is one of the main benefactors, that everybody must attain it to some extent. Then education, not only by means of getting good knowledge and not only by scoring high marks. Its mainly depends only by obtaining personal value and by gaining good moral thoughts and also by serving the society where one must belong.
  • 3. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 01 June 2015,Pages No.53- 56 ISSN: 2278-2400 55 Then, not only BHUTAN the exemption case, and well developed in this GNH, all other countries, all over the universe, many countries contribute to this beautiful concept. This concept earns socio-economic development. And here, this paper deals with the five knowledge variables, and also how this GNH concept develops Socio-economic development in education and how the experts looks this variables. And this paper mainly underwent some survey on these knowledge variables. Here the education attains by knowing these five knowledge variables and also cultivate our mind to respond them and pursuit the happiness. Here this paper encountered the expert’s opinion about such knowledge variables and how they practised that kind of knowledge variables in their day today life and also how they visualize these variables in their society. Same as BHUTAN, INDIA also have very traditional backgrounds. Many places in India, these GNH concepts were introduced by means of not knowing the proper meaning of that. But it still practised here a lot. Many non-governmental organisation were took part in this concept and they provide a better education to the young pupils.When dealing with these knowledge variables, one can easily understand their own culture, and also they start to reflect their own culture and they did not forget it too. In Bhutan, these kinds of knowledge variables all are highly valued. And in the same kind many countries developed their nation to a long extent with these kinds of knowledge variables. IV. MOTIVATION This knowledge variable teaches good values and motivates each one of us to promote HAPPINESS. The following points would be the vital key points to motivate oneself for their better reflection in these variables. They are the following:Usually the stories of local legends, strengthens the community by folktales have been a medium of communicating social ideals, values, morals and philosophy. Bhutanese folktales involve a mission of cultivating Buddhist values and virtues in common man’s life. Entertainment is their aim but in a way that contributes to the well-being and happiness of the society in the long run. Folksongs too have served as media with mission but they differ from folktales not only in terms of content and form but also in terms of life and pattern, treatment of subjects and flexibility. Folktales have been a tool for Bhutanese society to transfer ideals and values from one generation to another via entertainment. The main objective of the folktales is to trace the positioning of common man and his life in the folktales. The process of story telling in Bhutan has been attested by Kunzang Choden and Tandin Dorji. Choden says “In Bhutanese tradition stories, fables and legends are not told but are unraveled (shigai in Bumthangkha) and released (tangshi in Dzongkha)…these concept of releasing and unraveling are invested with much significance. These terms, shigai or tangshi, are related to information, which implies that our folktales are media with a mission of dissemination of information and transfer of knowledge along with entertainment. Educational aspects of folklore: Folklore is mainly contribution in the shaping of the society if education is a philosophical concept imbibing ideals of equality, freedom, justice and harmony, then the process of folktale narration is also a type of education. In such a social scenario it became very necessary to impart basic education about social values, prevailing beliefs, common sense, general knowledge and religious values to those underprivileged ones. Folktales shared this responsibility as a media not only for entertainment but also for education. list of traditional media(Dasho Kinley Dorji): Bhutan- the mani walls, prayer flags, the festivals and dances. V. ADAPTATION OF THE WT.M.E.N.N. TO THE PROBLEM Here we describe the opinion given by the experts with the assumed notations and construct the neural network based on that: 1 X knowledge of local legends and folktales 2 X knowledge of local festivals 3 X knowledge of traditional songs 4 X knowledge of HIV-AIDS transmission 5 X knowledge of constitution Each input X0, X1, ... , X5 are associated with real numbers called the weights, namely W0, W1, ... , W5 whose value lie in the interval [0,1]. We have obtained 7 experts opinion, the corresponding weightage are given by the following table: The average of the weightage are given by the experts namely E1, E2… E7. 1 E 2 E 3 E 4 E 5 E 6 E 7 E 0.76 0.72 0.66 0.79 0.83 0.75 0.76 By taking the input as the average of the weightage given by the experts and the value of bias is kept as in the case of neural network to be –1 . 0 X 1 X 2 X 3 X 4 X 5 X 0 W 1 W 2 W 3 W 4 W 5 W E1 0.67 0.91 0.83 0.78 0.65 0.73 E2 0.83 0.55 0.94 0.62 0.71 0.65 E3 0.61 0.73 0.83 0.52 0.69 0.59 E4 0.74 0.88 0.92 0.67 0.81 0.70 E5 0.89 0.95 0.67 0.75 0.91 0.78 E6 0.93 0.67 0.71 0.56 0.87 0.76 E7 0.77 0.93 0.68 0.81 0.69 0.65
  • 4. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 01 June 2015,Pages No.53- 56 ISSN: 2278-2400 56 -1 0.8 0.79 0.67 0.76 0.69 In general, using this newly constructed Weighted Multi Expert Neural Network (Wt.M.E.N.N.), we can extend to 7 number of experts say E1, E2, … , E7 and their corresponding output is given by, 1 ( ) n i i i i Y S W X     , where Wi is the weights given by the experts and 1 ( ) (1 exp{ }) S a a       We now model this by the weighted multi expert neural network (Wt.M.E.N.N) and in our opinion this Wt.M.E.N.N, takes the weight of every expert equally even before the data is processed for result.The multi expert neural network system of experts opinion with weightages of the seven experts From the output, we see that the overall opinion of the experts regarding these knowledge variables to be > 0.5.Thus to make a fuzzy analysis we using the same experts define the fuzzy set μ taking the opinion of the experts, E1, … ,E7 as the universal set E .The membership function μ given by the experts:μ : E ® [0, 1] where E = {E1 … E7} where i = 1, 2, ..., 7Now using the fuzzy membership grade given by the same experts and the output got from the Wt.M.E.N.N., we draw itcomparison table of fuzzy set value and it output from Wt. M.E.N.N. Average Weight Wt. M.E.N.N Fuzzy Set Value μ(E) Difference between Wt. M.E.N.N and μ(E) E1 0.76 0.90 1 0.10 E2 0.72 0.85 1 0.15 E3 0.66 0.87 1 0.13 E4 0.79 0.90 1 0.10 E5 0.83 0.89 1 0.11 E6 0.75 0.84 1 0.16 E7 0.76 0.88 1 0.12 VI. RESULTS The above results shows that a very positive side of these knowledge variables. All the experts were positively react to these kind of education and also they assure that these variables surely brings happiness to the society. Future Discussions Here this paper worked out the survey which is been given by experts of different field, whether they are all happy by gaining these kind of knowledge variables. This can be extended by proving the same knowledge variables for the young generations. Then it can be too extend by surveying for future generations, and whether these knowledge variables been present in the future or not. Due to the positive reaction by all the experts, this concept of five knowledge variables is very well appreciated by the society. Already BHUTAN reaches the most permanent place in developing these knowledge variables. The Bhutan stands ahead in developing these GNH. May this paper appreciate the research scholars for further work in developing the knowledge variables in their society and leads their society with peace and happiness. REFERENCES [1] B. Kosko, “ Fuzzy Cognitive Maps”, International Journal of man- machine studies, January, (1988), 62-75 [2] B. Kosko, “Hidden Patterns in combined and adaptive Knowledge Networks”, Proc. Of the first, IEE International Conference on Neutral Networks (ICNN-86(1988) 377-393). [3] B. Kosko, “Neutral Networks and Fuzzy systems: A Dynamical System Approach to Machine Intelligence”, Prentice Hall of India,1997. [4] Buckley, J.J. and Y. Hayashi, “Fuzzy neural networks: a survey”, Fuzzy sets and systems, 66(1), 1994d, 1-13. [5] David kriesel, A Brief Introduction to NeutralNetworks.http://www.dkriesel.com/en/science/neutral_networks. [6] Dr.MarkHumphry,http://www.computing.dcu.ie/~humph rys/Notes/Ne+ural/sigmoid.html [7] George J. Klir and Bo Yuan, Fuzzy sets and fuzzy logic theory and Applications, Prentice – Hall of India Private Limited, New Delhi, 1997. [8] Hayashi, Y. J.J. Buckley and E.Czogala, Fuzzy neural network with Fuzzy signals and weights, International Journal of Intelligent Systems, Vol.8 (4), 1993,527 – 537. [9] H. J. Zimmermann, “Fuzzy Set Theory and its application”, Fourth Edition Springer 2011. [10] Karma Ura, Sabina Alkire, Tshoki Zangmo, and Karma Wangdi, The Centre for Bhutan Studies (2012). [11] Narayanamoorthy, S., A Fuzzy Analysis Of The Socio Economic Problems Faced By Bonded Labourers In Tamil Nadu, Unpublished Ph.D Thesis, University of Madras, (2007). [12] R. Axelrod, “Structure of decision: The cognitive maps of political elites”. Princeton, N.J: Princeton University Press, 1976. [13] Vasantha Kandasamy. W.B., Indira,V., “Applications of Fuzzy Cognitive Maps to determine the MaximumUtility of Route”, Journal of Fuzzy Maths. publ. by the International Fuzzy Mathematical Institute, 8( 5), 2000, 65-67. [14] Vasantha Kandasamy. W.B., Antony Raj, S., and Victor Devadoss, A. “Some new fuzzy techniques”, Journal of Math & Comp. Sci. (Math.ser.), 17(2), 2004 , 157- 160. [15] W. B. Vasantha Kandasamy and Smarandache Florentin, “Analysis of social aspects of migrant labours living with HIV/AIDS using Fuzzy Theory and Neutrosophic Cognitive Maps, Xi-quan, Phoenix (2004)