6533b871fe1ef96bd12d25f0
RESEARCH PRODUCT
Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis
Vincenzo LoiaFerdinando Di MartinoSalvatore Sessasubject
fuzzy systemlcsh:Computer softwareDecision support systemControl and OptimizationFuzzy rulespatial analysisArticle SubjectParticle swarm optimizationFuzzy control systemcomputer.software_genreHierarchical clusteringSet (abstract data type)Computational Mathematicslcsh:QA76.75-76.765Similarity (network science)Control and Systems EngineeringInformation systemData mininglcsh:Electrical engineering. Electronics. Nuclear engineeringmultispecies PSOcomputerlcsh:TK1-9971Mathematicsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 | Advances in Fuzzy Systems |