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