FALWEB
Fuzzy Aggregated Linkages Within Environmental Bounds
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Create and edit FCMs through the use of a square matrix with zeroes along the diagonal
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Aggregate multiple square matrices of the same dimension, containing the same nodes, to
generate one resultant matrix and FCM
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The weight of each cell is represented by colour and thickness of the lines
Figure 1: Visual representation of Figure 2 as a Fuzzy Cognitive
Map (FCM)
Figure 2: Square matrix with zero diagonal showing positive and
negative linkages
Editing the Model
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Model can be editing by adding and
removing nodes from the system to
evaluate impact
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Final cell weight is the geometric mean of
the Strength, Spatial Extent, and Duration
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Confidence is used as metadata for
aggregation
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The adjacency of the model can be edited
by dragging and dropping links as
Figure 3: Matrix showing negative linkage C-D with the respective
categories
required
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Nodes and links can be saved from the
program in a TSV file
Figure 5: Model Options
Running and Aggregating the Model
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Models are aggregated through (Figure 5):
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Mean
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Confidence Weighted Mean
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Genetic algorithm given fitness function
Model can be iterated until the node values (Figure 1) reach
steady-state
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Figure 5: Aggregation
Nodes can be enabled or disabled to test slight changes in
the model
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Statistics, such as number of linkages, density, and
centrality can be viewed for each model
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Figure 6: Model Statistics