A fuzzy logic approach for the classification of product qualitative characteristics

Tsekouras, G; Sarimveis, H; Raptis, C; Bafas, G

dc.contributor.author	Tsekouras, G	en
dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Raptis, C	en
dc.contributor.author	Bafas, G	en
dc.date.accessioned	2014-03-01T01:17:21Z
dc.date.available	2014-03-01T01:17:21Z
dc.date.issued	2002	en
dc.identifier.issn	0098-1354	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14474
dc.subject	Classification	en
dc.subject	Fuzzy basis functions	en
dc.subject	Fuzzy systems	en
dc.subject	Quality properties	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	Chemical engineering	en
dc.subject.other	Expert systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	Human experts	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	fuzzy mathematics	en
dc.subject.other	analytic method	en
dc.subject.other	article	en
dc.subject.other	chemical engineering	en
dc.subject.other	classification	en
dc.subject.other	mathematical model	en
dc.subject.other	methodology	en
dc.subject.other	qualitative analysis	en
dc.subject.other	reliability	en
dc.title	A fuzzy logic approach for the classification of product qualitative characteristics	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0098-1354(01)00762-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0098-1354(01)00762-1	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	In many chemical engineering systems, the classification of product quality characteristics is performed by human experts, due to the absence of measuring devices. The development of mathematical models for such systems is a rather difficult task, since no equations based on first principles can be written. It remains to use black-box modeling techniques, where the qualitative and subjective classifications given by the experts, is the only available information for the output quality variables. In this paper, we propose a fuzzy classifier, which can be used as an adequate and reliable expert system to perform quality classifications. The methodology performs remarkably well in two different cases, showing that it has certain advantages over other black-box modeling techniques. (C) 2002 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Computers and Chemical Engineering	en
dc.identifier.doi	10.1016/S0098-1354(01)00762-1	en
dc.identifier.isi	ISI:000174909200007	en
dc.identifier.volume	26	en
dc.identifier.issue	3	en
dc.identifier.spage	429	en
dc.identifier.epage	438	en