Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map - Complex System Modelling and Control Through Intelligent Soft Computations - page 127

Table 2 The initial draft of
the connection matrix

C1 C2 C3 C4 C5 C6

C1 0 0.8 0.6 0.6 0.4 0.4

C2 0.6 0 0.6 0.6 0.4 0.4

C3 0.8 0.6 0 0.6 0.4 0.4

C4 0.4 0.6 0.4 0 0.4 0.4

C5 0.6 0.6 0.4 0.6 0 0.6

C6 0.4 0.4 0.4 0.4 0.4 0

This model includes the identi cation of concept nodes and relationships among

them (Fig. 6 ).
The matrix presented above indicated that each node of the FCM is connected to
each other node and the algorithm was used to set up values of connections.
The factors in the matrix are represented as follows:

C1: technical factor (collection, transport, treatment methods, etc.)

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C2: environmental factor (emission of pollution, depletion of resources, human
toxicity, etc.)

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C3: economic factor (subsidies, ef ciency at system/subsystem level, economic

sound and continuous operation, coverage of all after case expenses, etc.)

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C4: social factor (involving local need and requirements, minimizing public
health risk, providing employment, etc.)

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C5: legal factor (EU packaging directive, EU land ll directive, waste hierarchy,

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national, regional and local regulations)

C6: institutional factor (involvement of stakeholders, existence of feedback
mechanisms of citizens, organisational structure, etc.)

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Fig. 6 The initial fuzzy cognitive maps