Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis
Ferdinando Di Martino, Vincenzo Loia, Salvatore Sessa · Advances in Fuzzy Systems · 2012
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.