Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis
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 p...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/808361 |
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| _version_ | 1850222752044154880 |
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| author | Ferdinando Di Martino Vincenzo Loia Salvatore Sessa |
| author_facet | Ferdinando Di Martino Vincenzo Loia Salvatore Sessa |
| author_sort | Ferdinando Di Martino |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6fb1d6830472402a8434024943e15001 |
| institution | OA Journals |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-6fb1d6830472402a8434024943e150012025-08-20T02:06:13ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/808361808361Fuzzy Systems Based on Multispecies PSO Method in Spatial AnalysisFerdinando Di Martino0Vincenzo Loia1Salvatore Sessa2Dipartimento di Costruzioni e Metodi Matematici in Architettura, Università degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, ItalyDipartimento di Matematica e Informaica, Università degli Studi di Salerno, Via Ponte don Melillo, 84084 Fisciano, ItalyDipartimento di Costruzioni e Metodi Matematici in Architettura, Università degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, ItalyWe 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.http://dx.doi.org/10.1155/2012/808361 |
| spellingShingle | Ferdinando Di Martino Vincenzo Loia Salvatore Sessa Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis Advances in Fuzzy Systems |
| title | Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis |
| title_full | Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis |
| title_fullStr | Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis |
| title_full_unstemmed | Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis |
| title_short | Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis |
| title_sort | fuzzy systems based on multispecies pso method in spatial analysis |
| url | http://dx.doi.org/10.1155/2012/808361 |
| work_keys_str_mv | AT ferdinandodimartino fuzzysystemsbasedonmultispeciespsomethodinspatialanalysis AT vincenzoloia fuzzysystemsbasedonmultispeciespsomethodinspatialanalysis AT salvatoresessa fuzzysystemsbasedonmultispeciespsomethodinspatialanalysis |