Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis

الملخص EN

We present a method by using the hierarchical cluster-based Multispecies particle swarm optimization to generate a fuzzy system of Takagi-Sugeno-Kang type encapsulated in a geographical information system considered as environmental decision support for spatial analysis.

We consider a spatial area partitioned in subzones: the data measured in each subzone are used to extract a fuzzy rule set of above mentioned type.

We adopt a similarity index (greater than a specific threshold) for comparing fuzzy systems generated for adjacent subzones.