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.
Fuzzy systems based on multispecies PSO method in spatial analysis / Di Martino, F.; Loia, V.; Sessa, Salvatore. - In: ADVANCES IN FUZZY SYSTEMS. - ISSN 1687-7101. - 2012:2012(2012), pp. 1-8. [10.1155/2012/808361]
Fuzzy systems based on multispecies PSO method in spatial analysis
F. Di Martino;SESSA, SALVATORE
2012
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
