Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis
Joint Authors
Sessa, Salvatore
Loia, Vincenzo
Di Martino, Ferdinando
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract 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.
American Psychological Association (APA)
Di Martino, Ferdinando& Loia, Vincenzo& Sessa, Salvatore. 2012. Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-499736
Modern Language Association (MLA)
Di Martino, Ferdinando…[et al.]. Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis. Advances in Fuzzy Systems No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-499736
American Medical Association (AMA)
Di Martino, Ferdinando& Loia, Vincenzo& Sessa, Salvatore. Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-499736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499736
