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Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.102- 106
ISSN: 2278-2400
102
A Analysis of Environmental Education for the
Next Generation Using Combined Disjoint Block
Fuzzy Cognitive Maps (CDBFCMS)
A.Victor Devadoss1
, M. Clement Joe Anand2
, A.Felix3
, S. Alexandar4
1
Head & Associate Professor, PG & Research Department of Mathematics, Loyola College, Chennai, India.
2,3
Ph.D Research Scholars, PG & Research Department of Mathematics, Loyola College, Chennai, India.
3
MSc Mathematics, PG & Research Department of Mathematics, Loyola College, Chennai, India.
Abstract -God created the human beings; for the well-being of
human, He created the earth and all the things in the
surroundings, which is very useful and helpful. But human fail
to keep the purity of the Gods creation. Then the outcome of
human activities, our environment is polluted. Now we are in
the situation to save the earth and our environment. Various
ideas have been introduced for teaching and importing the
environmental sciences through formal and informal education.
These attempts have created environmental awareness. In this
paper we analyzed EE, how it impact to the primary students
using Combined Disjoint Block Fuzzy Cognitive Maps
(CDBFCM). This method is introduced by W.B. Vasantha
Kandasamy and A. Victor Devadoss. The Combined Disjoint
Block FCM is defined in this method becomes effective when
the number of concepts can be grouped and are in large
numbers. This paper has five sections. First section gives the
information about development of Fuzzy Cognitive Maps and
Environment Education. Second Section gives preliminaries of
Fuzzy Cognitive maps and Combined Disjoint Block Fuzzy
Cognitive Maps. In Section three, we explain method of
determining the hidden pattern. In the fourth section, we give
the concepts of problem. Final section gives the conclusion
based on our study.
Keywords-Environmental Education, Environmental
Education Awareness and Training Fuzzy Cognitive Maps,
Combined Disjoint Block Fuzzy Cognitive Maps.
I. INTRODUCTION
Environmental education has an ability to solve the social
problem, and the community problem and their solutions and
workforce for tackling cooperative mind. We need the school
children to share and develop the motivation from school about
various environmental issues which are the challenges of today
and prepare them for the future. The education system in India
had incorporated some aspects of EE in school curricula as
early as 1930 The roots of the present status of EE in formal
education can be traced back to the report of the education
commission (1964 -66) Kothari commission, this report also
incorporated the best that basic education had to offer so as to
relate it to the life needs and aspirations of the nation. The aims
of teaching EE in the schools to develop proper understanding
of the environment and preserve for the next generation. For an
in-depth understanding of environmental science at the
graduate level, the students must be prepared right from their
school days.
Need and importance Environmental Education:
Rapid population growth in India causes untold suffering and
all related hazards. It causes pollution and the resources like
air, water etc. reduce the quality of life of man. It causes
resource scarce. For these reason Environmental education is
need for population consciousness
EEAT Scheme
Environment Education, Awareness & Training (EEAT)
Scheme is a Central Scheme. The details of the Scheme are
given below. EEAT Scheme was launched during the 6th Five
Year Plan in 1983-84 with the following objectives:
(i)To promote environmental awareness among all sections of
the society;
(ii)To spread environment education, especially in the non-
formal system among different sections of the society;
(iii)To facilitate development of education/ training materials
and aids in the formal education sector;
(iv)To promote environment education through existing
educational/ scientific/ research institutions;
(v)To ensure training and manpower development for
environment education, awareness and training;
(vi)To encourage non-governmental organizations, mass media
and other concerned organizations for promoting awareness
about environmental issues among the people at all levels;
(vii)To use different media including films, audio, visual and
print,, theatre, drama, advertisements, hoarding, posters,
seminars, workshops, competitions, meetings etc. for spreading
messages concerning environment and awareness; and
(viii)To mobilize people's participation for preservation and
conservation of environment.
The objectives of this scheme are being realized through
implementation of the following programmes launched over
the years:
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.102- 106
ISSN: 2278-2400
103
(1)National Environment Awareness Campaign (NEAC).
(2)National Green Corps (NGC).
(3)Global Learning & Observations to Benefit the
Environment (GLOBE).
(4)Strengthening Environment Education in School System
and other courses at Graduate and Post-Graduate level
including Professional Courses.
(5)Advertising & Publicity.
(6)Seminars/ Symposia/ Workshops.
(7) Publication of Resource Material related to Environment.
(8) Grants-in-Aid to Professional Societies & Institutions.
(9) Other Awareness Programmes like Vacation Programmes,
Quiz/ Essay/ Debate/ Poster/ Slogan competitions, training
programmes etc.
(10) Library.
II. PRELIMINARIES
Fuzzy Cognitive Maps (FCMs) are more applicable when the
data in the first place is an unsupervised one. The FCMs work
on the opinion of experts. FCMs model the world as a
collection of classes and causal relations between classes.
2.1 Definition
When the nodes of the FCM are fuzzy sets then they are called
as fuzzy nodes.
2.2 Definition
FCMs with edge weights or causalities from the set {-1, 0, 1}
are called simple FCMs.
2.3 Definition
An FCMs is a directed graph with concepts like policies,
events etc, as nodes and causalities as edges, It represents
causal relationships between concepts.
2.4 Definition
Consider the nodes/concepts C1, C2,…, Cn of the FCM.
Suppose the directed graph is drawn using edge weight eij ∈ {-
1, 0, 1}. The matrix E be defined by E = (eij) where eij is the
weight of the directed edge CiCj. E is called the adjacency
matrix of FCM, also known as the connection matrix of the
FCM. It is important to note that all matrices associated with
an FCM are always square matrices with diagonal entries as
zero.
2.5 Definition
Let C1, C2,…, Cn be the nodes of an FCM. A=(a1, a2,…,an)
where eij ∈ {-1, 0, 1}. A is called the instantaneous state vector
and it denotes the on-off position of the node at an instant.
ai = 0 if ai is off and ai = 1 if ai is on for i = 1, 2,…, n.
2.6 Definition
Let C1, C2,…, Cn be the nodes of and FCM. Let
1 2 2 3 3 4
, , ,..., i j
C C C C C C C C be the edges of the FCM (i≠j).
Then the edges form a directed cycle. An FCM is said to be
cyclic if it possesses a directed cycle. An FCM is said to be
acyclic if it does not possess any directed cycle.
2.7 Definition
An FCM is said to be cyclic is said to have a feedback.
2.8 Definition
When there is a feedback in an FCM, i.e, when the causal
relations flow through a cycle in a revolutionary way, the FCM
is called a dynamical system.
2.9 Definition
Let 1 2 2 3 3 4 1
, , ,..., n n
C C C C C C C C
 be a cycle. When Ci is
switched on and if the causality flows through the edges of a
cycle and if it again causes Ci, we say that the dynamical
system ges round and round. This is true for any node Ci for i
=1,2,…,n. The equilibrium state for this dynamical system is
called the hidden pattern.
2.10 Definition
If the equilibrium state of a dynamical system is a unique state
vector, then it is called a fixed point. Consider a FCM with C1,
C2,…, Cn as nodes. For example let us start the dynamical
system by switching on C1. Let us assume that the FCM settles
down with C1 and Cn on i.e., in the state vector remains as
(1, 0, 0,…, 0) is called fixed point.
2.11 Definition
If the FCM settles down with a state vector repeating in the
form A1→A2→…→Ai→A1 then this equilibrium is called a
limit cycle.
2.12 Definition
Finite number of FCMs can be combined together to produce
the point effect of all the FCMs. Let E1, E2,…,Ep be the
adjacency matrices of the FCMs with nodes C1, C2,…, Cn then
the combined FCM is got by adding all the adjacency matrices
E1, E2,…, Ep. We denote the combined FCM adjacency matrix
by E = E1+E2+…+Ep.
2.13 Definition
Let C1, C2,…, Cn be n distinct attributes of a problem n very
large and a non prime. If we divide n into k equal classes i.e.,
k/n=t which are disjoint and if we find the directed graph of
each of there k classes of attributes with t attributes each, then
their corresponding connection matrices are formed and these
connection matrices are joined as blocks to form a n x n
matrix. This n x n connection matrix forms the combined
disjoint block FCM of equal classes. If the classes are not
divided to have equal attributes but if they are disjoint classes
we get a n x n connection matrix called the combined disjoint
block FCM of unequal classess/size.
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.102- 106
ISSN: 2278-2400
104
2.14 Definition
Suppose A = (a1, a2,…,an) is a vector which is passed into a
dynamical system E. Then AE = (a1’, a2’,…, an’) after
thresholding and updating the vector suppose we get (b1,
b2,…,bn) we denote that by (a1’, a2’,…, an’)  (b1, b2,…,bn).
Thus the symbol ‘ ’ means the resultant vector has been
thresholded and updated.
FCMs have several advantages as well as some disadvantages.
The main advantages of this method it is simple. It functions
on expert’s opinion. When the data happens to be an
unsupervised one the FCM comes handy. This is the only
known fuzzy technique that gives the hidden pattern of the
situation. As we have a very well known theory, which states
that the strength of the data depends on, the number of
experts’s opinions. At the same time the disadvantages of the
combined FCM is when the weightages are 1 and -1 for the
same CiCj, we have the sum adding to zero thus at all times the
connection matrices E1,E2,…,Ek may not be conformable for
addition.
Combined conflicting opinions tend to cancel out and assisted
by the strong law of large numbers, a consensus emerges as the
sample opinion approximates the underlying population
opinion. This problem will be easily overcome if the FCM
entries are only 0 and 1.
III. METHOD OF DETERMINING THE HIDDEN
PATTERN
Let C1, C2,…, Cn be the nodes of an FCM, with feedback, Let
E be the associated adjacency matrix. Let us find the hidden
pattern when C1 is switched on. When an input is given as the
vector A1 = (1, 0,…, 0), the data should pass through the
relation matrix E. This is done by multiplying Ai by the matrix
E. Let AiE = (a1, a2,…, an) with the threshold operation that is
by replacing ai by 1 if ai > k and ai by 0 if ai < k ( k is a suitable
positive integer). We update the resulting concept; the concept
C1 is included in the updated vector by making the first
coordinate as 1 in the resulting vector. Suppose AiE→ A2 then
consider A2E and repeat the same procedure. This procedure is
repeated till we get a limit cycle or a fixed point.
IV. DESCRIPTION OF THE PROBLEM
Using the Environmental Education linguistic questionnaire
and the expert’s opinion we have taken the following twelve
attributes
A1 – Awareness about immediate surroundings
A2 – Importance of trees and plants
A3 – Importance of cleanliness and sanitation
A4 – Awareness about air, water, soil and noise pollution
A5 – Need for the protection of environment
A6 – Knowledge about the source of energy
A7 – Importance of the conservation of water resources and
forests
A8 – Impact of industrialization on environment
A9 – Importance of plants and trees in keeping the
environment clean
A10 – Effects of environmental pollution and the consequences
of air pollution
A11 – Population and environment
A12 – Impact of deforestation
These 12 attributes are divided into 3 classes C1, C2, C3with 4
in each class.
Let C1 = {A1, A3, A6, A8},
C2 = {A2, A4, A7, A9},
C3 = {A5, A10, A11, A12} and
Now we take the expert opinion for each of these classes and
take the matrix associated with the combined disjoint block
FCMs. The experts opinion for the class C1 = {A1, A3, A6, A8},
in the form of the directed graph.
A1 A3
A6
A8
Fig. 1
The related connection matrix is given by
A3 A6 A8
1
3
1
6
8
0 1 1 1
1 0 1 1
0 0 0 1
0 0 0 0
A
A
M
A
A
 
 
 

 
 
 
The directed graph is given by the expert on C2 = {A2, A4, A7,
A9}, which forms the class
C2.
A2 A4
A7
A9
Fig. 2
According to this expert, the attributes, Importance of trees and
plants and Awareness about air, water, soil and noise pollution.
Required more understanding of the nature. And this is
connected to Better understanding for Environment. The
related connection matrix M2 is given below:
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.102- 106
ISSN: 2278-2400
105
A2 A4 A7 A9
2
4
2
7
9
0 1 1 1
1 0 1 1
1 0 0 1
0 0 1 0
A
A
M
A
A
 
 
 

 
 
 
Now we give the directed graph for the class C3 as given by
A5 A12
A10
A11
The expert C3 = {A5, A10, A11, A12}
According to this expert, Need for the protection of
environment and Effects of environmental pollution, and the
consequences of air pollution and Impact of deforestation.
These are all more interrelated.
The related connection matrix M4 is given below:
A5 A10 A11 A12
5
10
3
11
12
0 1 0 1
0 0 1 1
0 1 0 1
1 0 0 0
A
A
M
A
A
 
 
 

 
 
 
Fig. 3
The relation connection matrix B is given by
A1 A2 A3 A4 A5 A6 A7
A8 A9 A10 A11 A12
1
2
3
4
5
6
7
8
9
10
11
12
0 0 1 0 0 1 0 1 0 0 0 0
0 0 0 1 0 0 1 0 1 0 0 0
1 0 0 0 0 1 0 1 0 0 0 0
1 0 0 0 0 0 1 0 1 0 0 0
0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 0 0 0 1 0 0 0 0
0 1 0 0 0 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 1 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 1 0 0 0 0 0 0 0
A
A
A
A
A
A
B
A
A
A
A
A
A
 
 
 
 
 
 
 


 








 











We study the effect of any state vector on the dynomical
system using X=(1000000000000) be a state vector in which
the node,” Awareness about immediate surroundings” is in on
state, and all others are in off state.
X B (001001010000) = X1 (say)
X1 B (101001010000) = X2(say)
X2 B (100101010000) = X3(say)
X3 B (100001010000) = X4(say)
X4 B (001001010000)= X5(say)
X5 B (001001010000)= X6 = X5
The hidden pattern is a fixed point in which all attributes
“Importance of cleanliness and sanitation, Knowledge about
the source of energy, Impact of industrialization on
environment; ” are all in on stage. Let Y be (101000101000) be
a state vector in which nodes, Awareness about immediate
surroundings, Importance of cleanliness and sanitation;
Importance of the conservation of water resources and forests,
Importance of plants and trees in keeping the environment
clean, are on and all other in off stage. Therefore, the effect of
Y on the dynamical system is given by
Y B (101001110000) = Y1 (say)
Y1 B (111001011000) = Y2 (say)
Y2 B (101101111000) = Y3 (say)
Y3 B (111101111000) = Y4 (say)
Y4 B (111101111000) = Y5 =Y4
The resulting hidden pattern in a fixed point, Awareness about
immediate surroundings Importance of trees and plants;
Importance of cleanliness and sanitation ;Awareness about air,
water, soil and noise pollution ;Need for the protection of
environment, Knowledge about the source of energy;
Importance of the conservation of water resources and forests
;Impact of industrialization on environment; Importance of
plants and trees in keeping the environment clean.
V. CONCLUSION AND SUGGESTION
5.1 Conclusion
We analysed the environmental education using CDBFCM
model. The limit point of the dynamical system reveals that
the attributes A1 A2, A3, A4, A6, A7, A8, and A9. Through
environmental education, the students and the society educated
about environmental issues and how we have to save the
environmental.
(i)To promote environmental awareness among all sections of
the society;
(ii)To spread environment education, especially in the non-
formal system among different sections of the society;
(iii)To facilitate development of education/training materials
and aids in the formal education sector.
(iv)To promote environment education through existing
educational/scientific/ research institutions;
(v)To ensure training and manpower development for
environment education, awareness and training;
(vi)To encourage non-governmental organizations, mass media
and other concerned organizations for promoting awareness
about environmental issues among the people at all levels;
5.2 Suggestion
From our study we are giving the following suggestions.
1. Students are to be taught to restore and construct their
surroundings. There should be a topic to educate them.
2. The areas must be taken up are human health, family
planning nutrition of child and women rural development,
slum improvement, prevention of food contamination etc.
Integrated Intelligent Research(IIR) International Journal of Business Intelligent
Volume: 04 Issue: 02 December 2015,Pages No.102- 106
ISSN: 2278-2400
106
3. The children in schools should be taught the role of trees,
wild life etc.
4. The objective based training to be made to love for plants
and animals.
5. They must be sensitive to environmental problems.
6. They must require skills for solving environmental
problems.
REFERENCES
[1] A.Victor Devadoss, M.Clement Joe Anand, “A Solution to Control
Suicide in the Domestic Violence using Combined Disjoint Block Fuzzy
Cognitive Maps (CDBFCM)”, International Journal of Scientific &
Engineering Research, Volume 3, Issue 6, June-2012.
[2] A.Victor Devadoss, M.Clement Joe Anand, A. Felix, “A Study on the
Impact of Violent Video-Games playing among Children in Chennai
using Neutrosophic Cognitive Maps (NCMs)”, International Journal of
Scientific & Engineering Research, Volume 3, Issue 8, August-2012.
(article in Press).
[3] A.Victor Devadoss, M.Clement Joe Anand, “Dimensions of Personality
of Women in Chennai Using CETD Matrix”, International Journal of
Computer Applications, July-2012. (article in Press).
[4] B. Kosko, “Fuzzy Cognitive Maps”, International Journal of man-
machine studies, January, (1988), 62-75.
[5] B. Kosko, “Hidden patterns in combined and Adaptive Knowledge
Networks”, Proc. Of the First, IEE International Conference on Neural
Networks (ICNN-86(1988) 377-393).
[6] B. Kosko, “Neural Networks and Fuzzy systems: A Dynamical System
Approach to Machine Intelligence”, Prentice Hall of India, 1997.
[7] George J.Klir/Bo Yuan, “Fuzzy sets and Fuzzy Logic: Theory and
Applications”, Prentice Hall of India.
[8] H. J. Zimmermann, “Fuzzy Set Theory and its application”, Fourth
Edition Springer 2011.
[9] Programme evaluatin report: Activity Based Learning Tamil Nadu,
National council of educational research and training, December 2011.
[10] R. Axelrod, “Structure of decision: The cognitive maps of political
elites”. Princeton, N.J: Princeton University Press, 1976.
[11] 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)
[12] W. B. Vasantha Kandasamy and A. Victor Devadoss, “Some New Fuzzy
Techniques”, Jour. Of Inst. Of. Math. & Comp. Sci. (Math.Ser.), Vol. 17,
No.2, (2004), 157-
[13] Chapman, H.D and Pratt. P.F. 1961. Methods of analysis of Soils, Plants
and Waters, University of California.
[14] VCCI 1990. National Curriculum Council, Environmental Education 7
(Seven) Curriculum guidance book 1SBN-18772676251 NCC, Albion,
Wharf .25.SK Eldergate, yorky012xl.
[15] J. D Collins 1980, Mathematics and Environmental Education ed. World
wild life fund (WWF) for nature.
[16] NCERT 2005, National Curriculum Frame work, NCERT edition,
Aurobindo Marg, New Delhi.
[17] Ramachandra T. V., Rajasekhar Murthy . C and Ahalya. N 2002.
Restoration of Lakes and Wetlands, Allied Publishers(P) limited.

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A Analysis of Environmental Education for the Next Generation Using Combined Disjoint Block Fuzzy Cognitive Maps (CDBFCMS)

  • 1. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.102- 106 ISSN: 2278-2400 102 A Analysis of Environmental Education for the Next Generation Using Combined Disjoint Block Fuzzy Cognitive Maps (CDBFCMS) A.Victor Devadoss1 , M. Clement Joe Anand2 , A.Felix3 , S. Alexandar4 1 Head & Associate Professor, PG & Research Department of Mathematics, Loyola College, Chennai, India. 2,3 Ph.D Research Scholars, PG & Research Department of Mathematics, Loyola College, Chennai, India. 3 MSc Mathematics, PG & Research Department of Mathematics, Loyola College, Chennai, India. Abstract -God created the human beings; for the well-being of human, He created the earth and all the things in the surroundings, which is very useful and helpful. But human fail to keep the purity of the Gods creation. Then the outcome of human activities, our environment is polluted. Now we are in the situation to save the earth and our environment. Various ideas have been introduced for teaching and importing the environmental sciences through formal and informal education. These attempts have created environmental awareness. In this paper we analyzed EE, how it impact to the primary students using Combined Disjoint Block Fuzzy Cognitive Maps (CDBFCM). This method is introduced by W.B. Vasantha Kandasamy and A. Victor Devadoss. The Combined Disjoint Block FCM is defined in this method becomes effective when the number of concepts can be grouped and are in large numbers. This paper has five sections. First section gives the information about development of Fuzzy Cognitive Maps and Environment Education. Second Section gives preliminaries of Fuzzy Cognitive maps and Combined Disjoint Block Fuzzy Cognitive Maps. In Section three, we explain method of determining the hidden pattern. In the fourth section, we give the concepts of problem. Final section gives the conclusion based on our study. Keywords-Environmental Education, Environmental Education Awareness and Training Fuzzy Cognitive Maps, Combined Disjoint Block Fuzzy Cognitive Maps. I. INTRODUCTION Environmental education has an ability to solve the social problem, and the community problem and their solutions and workforce for tackling cooperative mind. We need the school children to share and develop the motivation from school about various environmental issues which are the challenges of today and prepare them for the future. The education system in India had incorporated some aspects of EE in school curricula as early as 1930 The roots of the present status of EE in formal education can be traced back to the report of the education commission (1964 -66) Kothari commission, this report also incorporated the best that basic education had to offer so as to relate it to the life needs and aspirations of the nation. The aims of teaching EE in the schools to develop proper understanding of the environment and preserve for the next generation. For an in-depth understanding of environmental science at the graduate level, the students must be prepared right from their school days. Need and importance Environmental Education: Rapid population growth in India causes untold suffering and all related hazards. It causes pollution and the resources like air, water etc. reduce the quality of life of man. It causes resource scarce. For these reason Environmental education is need for population consciousness EEAT Scheme Environment Education, Awareness & Training (EEAT) Scheme is a Central Scheme. The details of the Scheme are given below. EEAT Scheme was launched during the 6th Five Year Plan in 1983-84 with the following objectives: (i)To promote environmental awareness among all sections of the society; (ii)To spread environment education, especially in the non- formal system among different sections of the society; (iii)To facilitate development of education/ training materials and aids in the formal education sector; (iv)To promote environment education through existing educational/ scientific/ research institutions; (v)To ensure training and manpower development for environment education, awareness and training; (vi)To encourage non-governmental organizations, mass media and other concerned organizations for promoting awareness about environmental issues among the people at all levels; (vii)To use different media including films, audio, visual and print,, theatre, drama, advertisements, hoarding, posters, seminars, workshops, competitions, meetings etc. for spreading messages concerning environment and awareness; and (viii)To mobilize people's participation for preservation and conservation of environment. The objectives of this scheme are being realized through implementation of the following programmes launched over the years:
  • 2. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.102- 106 ISSN: 2278-2400 103 (1)National Environment Awareness Campaign (NEAC). (2)National Green Corps (NGC). (3)Global Learning & Observations to Benefit the Environment (GLOBE). (4)Strengthening Environment Education in School System and other courses at Graduate and Post-Graduate level including Professional Courses. (5)Advertising & Publicity. (6)Seminars/ Symposia/ Workshops. (7) Publication of Resource Material related to Environment. (8) Grants-in-Aid to Professional Societies & Institutions. (9) Other Awareness Programmes like Vacation Programmes, Quiz/ Essay/ Debate/ Poster/ Slogan competitions, training programmes etc. (10) Library. II. PRELIMINARIES Fuzzy Cognitive Maps (FCMs) are more applicable when the data in the first place is an unsupervised one. The FCMs work on the opinion of experts. FCMs model the world as a collection of classes and causal relations between classes. 2.1 Definition When the nodes of the FCM are fuzzy sets then they are called as fuzzy nodes. 2.2 Definition FCMs with edge weights or causalities from the set {-1, 0, 1} are called simple FCMs. 2.3 Definition An FCMs is a directed graph with concepts like policies, events etc, as nodes and causalities as edges, It represents causal relationships between concepts. 2.4 Definition Consider the nodes/concepts C1, C2,…, Cn of the FCM. Suppose the directed graph is drawn using edge weight eij ∈ {- 1, 0, 1}. The matrix E be defined by E = (eij) where eij is the weight of the directed edge CiCj. E is called the adjacency matrix of FCM, also known as the connection matrix of the FCM. It is important to note that all matrices associated with an FCM are always square matrices with diagonal entries as zero. 2.5 Definition Let C1, C2,…, Cn be the nodes of an FCM. A=(a1, a2,…,an) where eij ∈ {-1, 0, 1}. A is called the instantaneous state vector and it denotes the on-off position of the node at an instant. ai = 0 if ai is off and ai = 1 if ai is on for i = 1, 2,…, n. 2.6 Definition Let C1, C2,…, Cn be the nodes of and FCM. Let 1 2 2 3 3 4 , , ,..., i j C C C C C C C C be the edges of the FCM (i≠j). Then the edges form a directed cycle. An FCM is said to be cyclic if it possesses a directed cycle. An FCM is said to be acyclic if it does not possess any directed cycle. 2.7 Definition An FCM is said to be cyclic is said to have a feedback. 2.8 Definition When there is a feedback in an FCM, i.e, when the causal relations flow through a cycle in a revolutionary way, the FCM is called a dynamical system. 2.9 Definition Let 1 2 2 3 3 4 1 , , ,..., n n C C C C C C C C  be a cycle. When Ci is switched on and if the causality flows through the edges of a cycle and if it again causes Ci, we say that the dynamical system ges round and round. This is true for any node Ci for i =1,2,…,n. The equilibrium state for this dynamical system is called the hidden pattern. 2.10 Definition If the equilibrium state of a dynamical system is a unique state vector, then it is called a fixed point. Consider a FCM with C1, C2,…, Cn as nodes. For example let us start the dynamical system by switching on C1. Let us assume that the FCM settles down with C1 and Cn on i.e., in the state vector remains as (1, 0, 0,…, 0) is called fixed point. 2.11 Definition If the FCM settles down with a state vector repeating in the form A1→A2→…→Ai→A1 then this equilibrium is called a limit cycle. 2.12 Definition Finite number of FCMs can be combined together to produce the point effect of all the FCMs. Let E1, E2,…,Ep be the adjacency matrices of the FCMs with nodes C1, C2,…, Cn then the combined FCM is got by adding all the adjacency matrices E1, E2,…, Ep. We denote the combined FCM adjacency matrix by E = E1+E2+…+Ep. 2.13 Definition Let C1, C2,…, Cn be n distinct attributes of a problem n very large and a non prime. If we divide n into k equal classes i.e., k/n=t which are disjoint and if we find the directed graph of each of there k classes of attributes with t attributes each, then their corresponding connection matrices are formed and these connection matrices are joined as blocks to form a n x n matrix. This n x n connection matrix forms the combined disjoint block FCM of equal classes. If the classes are not divided to have equal attributes but if they are disjoint classes we get a n x n connection matrix called the combined disjoint block FCM of unequal classess/size.
  • 3. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.102- 106 ISSN: 2278-2400 104 2.14 Definition Suppose A = (a1, a2,…,an) is a vector which is passed into a dynamical system E. Then AE = (a1’, a2’,…, an’) after thresholding and updating the vector suppose we get (b1, b2,…,bn) we denote that by (a1’, a2’,…, an’)  (b1, b2,…,bn). Thus the symbol ‘ ’ means the resultant vector has been thresholded and updated. FCMs have several advantages as well as some disadvantages. The main advantages of this method it is simple. It functions on expert’s opinion. When the data happens to be an unsupervised one the FCM comes handy. This is the only known fuzzy technique that gives the hidden pattern of the situation. As we have a very well known theory, which states that the strength of the data depends on, the number of experts’s opinions. At the same time the disadvantages of the combined FCM is when the weightages are 1 and -1 for the same CiCj, we have the sum adding to zero thus at all times the connection matrices E1,E2,…,Ek may not be conformable for addition. Combined conflicting opinions tend to cancel out and assisted by the strong law of large numbers, a consensus emerges as the sample opinion approximates the underlying population opinion. This problem will be easily overcome if the FCM entries are only 0 and 1. III. METHOD OF DETERMINING THE HIDDEN PATTERN Let C1, C2,…, Cn be the nodes of an FCM, with feedback, Let E be the associated adjacency matrix. Let us find the hidden pattern when C1 is switched on. When an input is given as the vector A1 = (1, 0,…, 0), the data should pass through the relation matrix E. This is done by multiplying Ai by the matrix E. Let AiE = (a1, a2,…, an) with the threshold operation that is by replacing ai by 1 if ai > k and ai by 0 if ai < k ( k is a suitable positive integer). We update the resulting concept; the concept C1 is included in the updated vector by making the first coordinate as 1 in the resulting vector. Suppose AiE→ A2 then consider A2E and repeat the same procedure. This procedure is repeated till we get a limit cycle or a fixed point. IV. DESCRIPTION OF THE PROBLEM Using the Environmental Education linguistic questionnaire and the expert’s opinion we have taken the following twelve attributes A1 – Awareness about immediate surroundings A2 – Importance of trees and plants A3 – Importance of cleanliness and sanitation A4 – Awareness about air, water, soil and noise pollution A5 – Need for the protection of environment A6 – Knowledge about the source of energy A7 – Importance of the conservation of water resources and forests A8 – Impact of industrialization on environment A9 – Importance of plants and trees in keeping the environment clean A10 – Effects of environmental pollution and the consequences of air pollution A11 – Population and environment A12 – Impact of deforestation These 12 attributes are divided into 3 classes C1, C2, C3with 4 in each class. Let C1 = {A1, A3, A6, A8}, C2 = {A2, A4, A7, A9}, C3 = {A5, A10, A11, A12} and Now we take the expert opinion for each of these classes and take the matrix associated with the combined disjoint block FCMs. The experts opinion for the class C1 = {A1, A3, A6, A8}, in the form of the directed graph. A1 A3 A6 A8 Fig. 1 The related connection matrix is given by A3 A6 A8 1 3 1 6 8 0 1 1 1 1 0 1 1 0 0 0 1 0 0 0 0 A A M A A              The directed graph is given by the expert on C2 = {A2, A4, A7, A9}, which forms the class C2. A2 A4 A7 A9 Fig. 2 According to this expert, the attributes, Importance of trees and plants and Awareness about air, water, soil and noise pollution. Required more understanding of the nature. And this is connected to Better understanding for Environment. The related connection matrix M2 is given below:
  • 4. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.102- 106 ISSN: 2278-2400 105 A2 A4 A7 A9 2 4 2 7 9 0 1 1 1 1 0 1 1 1 0 0 1 0 0 1 0 A A M A A              Now we give the directed graph for the class C3 as given by A5 A12 A10 A11 The expert C3 = {A5, A10, A11, A12} According to this expert, Need for the protection of environment and Effects of environmental pollution, and the consequences of air pollution and Impact of deforestation. These are all more interrelated. The related connection matrix M4 is given below: A5 A10 A11 A12 5 10 3 11 12 0 1 0 1 0 0 1 1 0 1 0 1 1 0 0 0 A A M A A              Fig. 3 The relation connection matrix B is given by A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 1 2 3 4 5 6 7 8 9 10 11 12 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 A A A A A A B A A A A A A                                        We study the effect of any state vector on the dynomical system using X=(1000000000000) be a state vector in which the node,” Awareness about immediate surroundings” is in on state, and all others are in off state. X B (001001010000) = X1 (say) X1 B (101001010000) = X2(say) X2 B (100101010000) = X3(say) X3 B (100001010000) = X4(say) X4 B (001001010000)= X5(say) X5 B (001001010000)= X6 = X5 The hidden pattern is a fixed point in which all attributes “Importance of cleanliness and sanitation, Knowledge about the source of energy, Impact of industrialization on environment; ” are all in on stage. Let Y be (101000101000) be a state vector in which nodes, Awareness about immediate surroundings, Importance of cleanliness and sanitation; Importance of the conservation of water resources and forests, Importance of plants and trees in keeping the environment clean, are on and all other in off stage. Therefore, the effect of Y on the dynamical system is given by Y B (101001110000) = Y1 (say) Y1 B (111001011000) = Y2 (say) Y2 B (101101111000) = Y3 (say) Y3 B (111101111000) = Y4 (say) Y4 B (111101111000) = Y5 =Y4 The resulting hidden pattern in a fixed point, Awareness about immediate surroundings Importance of trees and plants; Importance of cleanliness and sanitation ;Awareness about air, water, soil and noise pollution ;Need for the protection of environment, Knowledge about the source of energy; Importance of the conservation of water resources and forests ;Impact of industrialization on environment; Importance of plants and trees in keeping the environment clean. V. CONCLUSION AND SUGGESTION 5.1 Conclusion We analysed the environmental education using CDBFCM model. The limit point of the dynamical system reveals that the attributes A1 A2, A3, A4, A6, A7, A8, and A9. Through environmental education, the students and the society educated about environmental issues and how we have to save the environmental. (i)To promote environmental awareness among all sections of the society; (ii)To spread environment education, especially in the non- formal system among different sections of the society; (iii)To facilitate development of education/training materials and aids in the formal education sector. (iv)To promote environment education through existing educational/scientific/ research institutions; (v)To ensure training and manpower development for environment education, awareness and training; (vi)To encourage non-governmental organizations, mass media and other concerned organizations for promoting awareness about environmental issues among the people at all levels; 5.2 Suggestion From our study we are giving the following suggestions. 1. Students are to be taught to restore and construct their surroundings. There should be a topic to educate them. 2. The areas must be taken up are human health, family planning nutrition of child and women rural development, slum improvement, prevention of food contamination etc.
  • 5. Integrated Intelligent Research(IIR) International Journal of Business Intelligent Volume: 04 Issue: 02 December 2015,Pages No.102- 106 ISSN: 2278-2400 106 3. The children in schools should be taught the role of trees, wild life etc. 4. The objective based training to be made to love for plants and animals. 5. They must be sensitive to environmental problems. 6. They must require skills for solving environmental problems. REFERENCES [1] A.Victor Devadoss, M.Clement Joe Anand, “A Solution to Control Suicide in the Domestic Violence using Combined Disjoint Block Fuzzy Cognitive Maps (CDBFCM)”, International Journal of Scientific & Engineering Research, Volume 3, Issue 6, June-2012. [2] A.Victor Devadoss, M.Clement Joe Anand, A. Felix, “A Study on the Impact of Violent Video-Games playing among Children in Chennai using Neutrosophic Cognitive Maps (NCMs)”, International Journal of Scientific & Engineering Research, Volume 3, Issue 8, August-2012. (article in Press). [3] A.Victor Devadoss, M.Clement Joe Anand, “Dimensions of Personality of Women in Chennai Using CETD Matrix”, International Journal of Computer Applications, July-2012. (article in Press). [4] B. Kosko, “Fuzzy Cognitive Maps”, International Journal of man- machine studies, January, (1988), 62-75. [5] B. Kosko, “Hidden patterns in combined and Adaptive Knowledge Networks”, Proc. Of the First, IEE International Conference on Neural Networks (ICNN-86(1988) 377-393). [6] B. Kosko, “Neural Networks and Fuzzy systems: A Dynamical System Approach to Machine Intelligence”, Prentice Hall of India, 1997. [7] George J.Klir/Bo Yuan, “Fuzzy sets and Fuzzy Logic: Theory and Applications”, Prentice Hall of India. [8] H. J. Zimmermann, “Fuzzy Set Theory and its application”, Fourth Edition Springer 2011. [9] Programme evaluatin report: Activity Based Learning Tamil Nadu, National council of educational research and training, December 2011. [10] R. Axelrod, “Structure of decision: The cognitive maps of political elites”. Princeton, N.J: Princeton University Press, 1976. [11] 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) [12] W. B. Vasantha Kandasamy and A. Victor Devadoss, “Some New Fuzzy Techniques”, Jour. Of Inst. Of. Math. & Comp. Sci. (Math.Ser.), Vol. 17, No.2, (2004), 157- [13] Chapman, H.D and Pratt. P.F. 1961. Methods of analysis of Soils, Plants and Waters, University of California. [14] VCCI 1990. National Curriculum Council, Environmental Education 7 (Seven) Curriculum guidance book 1SBN-18772676251 NCC, Albion, Wharf .25.SK Eldergate, yorky012xl. [15] J. D Collins 1980, Mathematics and Environmental Education ed. World wild life fund (WWF) for nature. [16] NCERT 2005, National Curriculum Frame work, NCERT edition, Aurobindo Marg, New Delhi. [17] Ramachandra T. V., Rajasekhar Murthy . C and Ahalya. N 2002. Restoration of Lakes and Wetlands, Allied Publishers(P) limited.