Adaptation of weighted fuzzy 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	2014-03-01T02:43:53Z
dc.date.available	2014-03-01T02:43:53Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31538
dc.subject	connectionist models	en
dc.subject	Fuzzy Logic Programming	en
dc.subject	Fuzzy Programming	en
dc.subject	Logic Programs	en
dc.subject	Neural Network Model	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Connectionist models	en
dc.subject.other	Fuzzy programs	en
dc.subject.other	Logic rules	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer programming	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Logic programming	en
dc.subject.other	Mathematical models	en
dc.subject.other	Problem solving	en
dc.subject.other	Uncertain systems	en
dc.subject.other	Neural networks	en
dc.title	Adaptation of weighted fuzzy programs	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11840930_5	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11840930_5	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Fuzzy logic programs are a useful framework for handling uncertainty in logic programming; nevertheless, there is the need for modelling adaptation of fuzzy logic programs. In this paper, we first overview weighted fuzzy programs, which bring fuzzy logic programs and connectionist models closer together by associating significance weights with the atoms of a logic rule: by exploiting the existence of weights, it is possible to construct a neural network model that reflects the structure of a weighted fuzzy program. Based on this model, we then introduce the weighted fuzzy program adaptation problem and propose an algorithm for adapting the weights of the rules of the program to fit a given dataset. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11840930_5	en
dc.identifier.isi	ISI:000241475200005	en
dc.identifier.volume	4132 LNCS - II	en
dc.identifier.spage	45	en
dc.identifier.epage	54	en