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Advances in Fuzzy Systems
Volume 2012 (2012), Article ID 808361, 8 pages
Research Article

Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis

1Dipartimento di Costruzioni e Metodi Matematici in Architettura, Università degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, Italy
2Dipartimento di Matematica e Informaica, Università degli Studi di Salerno, Via Ponte don Melillo, 84084 Fisciano, Italy

Received 15 April 2012; Accepted 31 May 2012

Academic Editor: Irina G. Perfilieva

Copyright © 2012 Ferdinando Di Martino et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.