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