A method for fuzzy system identification based on clustering analysis

Tsekouras, G; Sarimveis, H; Bafas, G

dc.contributor.author	Tsekouras, G	en
dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Bafas, G	en
dc.date.accessioned	2014-03-01T01:51:49Z
dc.date.available	2014-03-01T01:51:49Z
dc.date.issued	2002	en
dc.identifier.issn	02329298	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26465
dc.subject	Cluster analysis	en
dc.subject	Fuzzy identification	en
dc.subject	Parameter identification	en
dc.subject	Structure identification	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer simulation	en
dc.subject.other	Functions	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Iterative methods	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Cluster analysis	en
dc.subject.other	Fuzzy identification	en
dc.subject.other	Structure identification	en
dc.subject.other	Identification (control systems)	en
dc.title	A method for fuzzy system identification based on clustering analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/00000000000000000	en
heal.identifier.secondary	http://dx.doi.org/10.1080/00000000000000000	en
heal.publicationDate	2002	en
heal.abstract	In this paper a methodology which identifies fuzzy systems is developed. In the first place, an algorithm that employs a distance function to automatically generate fuzzy rules is proposed. In addition to that, this algorithm gives an estimation of the system parameters, which are used as initial values for the iterative parameter optimization that follows. A clustering analysis is adopted to optimize the premise parameters and the least-squares method is used to optimize the consequent parameters. The number of rules is controlled by the performance of the system. Finally, simulations show the validity of the proposed method.	en
heal.journalName	Systems Analysis Modelling Simulation	en
dc.identifier.doi	10.1080/00000000000000000	en
dc.identifier.volume	42	en
dc.identifier.issue	6	en
dc.identifier.spage	797	en
dc.identifier.epage	823	en