A linguistic multicriteria analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site selection

Anagnostopoulos, K; Doukas, H; Psarras, J

dc.contributor.author	Anagnostopoulos, K	en
dc.contributor.author	Doukas, H	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:27:41Z
dc.date.available	2014-03-01T01:27:41Z
dc.date.issued	2008	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18541
dc.subject	Distance measures	en
dc.subject	Fuzzy numbers	en
dc.subject	Multicriteria analysis	en
dc.subject	Similarity measures	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Agglomeration	en
dc.subject.other	Chlorine compounds	en
dc.subject.other	Computational linguistics	en
dc.subject.other	Decision making	en
dc.subject.other	Decision theory	en
dc.subject.other	Fuzzy inference	en
dc.subject.other	Fuzzy logic	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Linguistics	en
dc.subject.other	Problem solving	en
dc.subject.other	Site selection	en
dc.subject.other	Decision functions	en
dc.subject.other	Decision maker's preferences	en
dc.subject.other	Decision rules	en
dc.subject.other	Distance measures	en
dc.subject.other	Fuzzy logic modeling	en
dc.subject.other	Fuzzy numbers	en
dc.subject.other	Fuzzy sets theory	en
dc.subject.other	Human thinking	en
dc.subject.other	Ideal points	en
dc.subject.other	Ideal solutions	en
dc.subject.other	Linguistic variables	en
dc.subject.other	Maximal entropy	en
dc.subject.other	Multi-criteria	en
dc.subject.other	Multi-criteria approach	en
dc.subject.other	Multicriteria analysis	en
dc.subject.other	Multicriteria methods	en
dc.subject.other	OWA operators	en
dc.subject.other	Second-level	en
dc.subject.other	Similarity measures	en
dc.subject.other	Set theory	en
dc.title	A linguistic multicriteria analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site selection	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.eswa.2007.08.074	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.eswa.2007.08.074	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	Most multicriteria methods try to model human thinking and insert the results of this modelling into their procedures. Following this path, the proposed multicriteria approach first captures the imprecision and vagueness of data by using linguistic variables. At a second level, it utilises human processes of decision-making by creating decision rules and modelling them with functions used in fuzzy sets theory. This method also is compatible with the way fuzzy logic models and combines fuzzy propositions. The proposed method considers the ideal solution and the anti-ideal solution and assesses each alternative in terms of distance as well as similarity to the ideal Solution and the anti-ideal solution. Distance and similarity measures for fuzzy numbers are used and their aggregation is guided by the decision rules in order to construct decision functions. Further, OWA operators with maximal entropy are used to aggregate across all criteria and determine the overall score of each alternative. It is shown that the proposed method presents flexibility in modelling the decision maker's preferences and it is also appropriate and effective to handle multicriteria problems of considerable complexity. (C) 2007 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Expert Systems with Applications	en
dc.identifier.doi	10.1016/j.eswa.2007.08.074	en
dc.identifier.isi	ISI:000259432600051	en
dc.identifier.volume	35	en
dc.identifier.issue	4	en
dc.identifier.spage	2041	en
dc.identifier.epage	2048	en