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