Definition and adaptation of weighted fuzzy logic programs

Chortaras, A; Stamou, G; Stafylopatis, A

dc.contributor.author	Chortaras, A	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:30:06Z
dc.date.available	2014-03-01T01:30:06Z
dc.date.issued	2009	en
dc.identifier.issn	0218-4885	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19471
dc.subject	Fuzzy logic	en
dc.subject	Fuzzy logic programming	en
dc.subject	Knowledge adaptation	en
dc.subject	Logic programming	en
dc.subject	Rule extraction	en
dc.subject	Triangular norms	en
dc.subject	Weighted conjunctions	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	Fuzzy logic programming	en
dc.subject.other	Knowledge adaptation	en
dc.subject.other	Rule extraction	en
dc.subject.other	Triangular norms	en
dc.subject.other	Weighted conjunctions	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Information theory	en
dc.subject.other	Logic programming	en
dc.subject.other	Scattering parameters	en
dc.subject.other	Semantics	en
dc.subject.other	Fuzzy logic	en
dc.title	Definition and adaptation of weighted fuzzy logic programs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1142/S0218488509005759	en
heal.identifier.secondary	http://dx.doi.org/10.1142/S0218488509005759	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Fuzzy logic programming has been lately used as a general framework for representing and handling imprecise knowledge. In this paper, we define the syntax and the semantics of definite weighted fuzzy logic programs, which extend definite fuzzy logic programs by allowing the inclusion of different significance weights in the individual atoms that make up the antecedent of a fuzzy logic rule. The weights add expressiveness to a fuzzy logic program and allow the determination of the level up to which an atom in the antecedent of a rule may affect the truth value of its consequent. In describing the semantics of definite weighted fuzzy logic programs we introduce the notion of the generalized weighted fuzzy conjunction operator, which can be regarded as a weighted t-norm based aggregation. We determine the properties of generalized weighted fuzzy conjunction operators and provide several examples. A methodology for constructing generalized weighted fuzzy conjunction operators using generator functions of existing t-norms is also introduced. Finally, a method for setting up a parametric weighted fuzzy logic program and automatically adapting the weights of its rules using a numerical dataset is developed. © 2009 World Scientific Publishing Company.	en
heal.publisher	WORLD SCIENTIFIC PUBL CO PTE LTD	en
heal.journalName	International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems	en
dc.identifier.doi	10.1142/S0218488509005759	en
dc.identifier.isi	ISI:000263627900006	en
dc.identifier.volume	17	en
dc.identifier.issue	1	en
dc.identifier.spage	85	en
dc.identifier.epage	135	en