Fuzzy systems based on multispecies PSO method in spatial analysis

Authors:
Ferdinando Di Martino;Vincenzo Loia;Salvatore Sessa
Affiliations:
Dipartimento di Costruzioni e Metodi Matematici in Architettura, Università degli Studi di Napoli Federico II, Napoli, Italy;Dipartimento di Matematica e Informaica, Università degli Studi di Salerno, Fisciano, Italy;Dipartimento di Costruzioni e Metodi Matematici in Architettura, Università degli Studi di Napoli Federico II, Napoli, Italy
Venue:
Advances in Fuzzy Systems - Special issue on Fuzzy Functions, Relations, and Fuzzy Transforms (2012)
Year:
2012

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Abstract

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.