A fuzzy cognitive map approach to support urban design

Xirogiannis, G; Stefanou, J; Glykas, M

dc.contributor.author	Xirogiannis, G	en
dc.contributor.author	Stefanou, J	en
dc.contributor.author	Glykas, M	en
dc.date.accessioned	2014-03-01T01:19:44Z
dc.date.available	2014-03-01T01:19:44Z
dc.date.issued	2004	en
dc.identifier.issn	0957-4174	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15689
dc.subject	Decision support	en
dc.subject	Fuzzy cognitive maps	en
dc.subject	Knowledge-based systems	en
dc.subject	Urban design	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	Algorithms	en
dc.subject.other	Decision support systems	en
dc.subject.other	Expert systems	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Logic programming	en
dc.subject.other	Project management	en
dc.subject.other	Urban planning	en
dc.subject.other	Esthetic analysis	en
dc.subject.other	Fuzzy cognitive maps (FCM)	en
dc.subject.other	Cognitive systems	en
dc.title	A fuzzy cognitive map approach to support urban design	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0957-4174(03)00140-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0957-4174(03)00140-4	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper is concerned with proposing a fuzzy cognitive map (FCM) driven approach for implementing expert decision support in the area of urban design. Previous research activities modeled a knowledge-based system using first order predicate calculus. The current approach utilizes the inherent analogies between SLD resolution trees and FCMs and proposes the generation of multi-branch map hierarchies in order to model the disjointed conjuncts of the logic-based rules. This research proposes specific algorithms for interpreting the logic-based rules to FCMs as well as specific algorithms and formulas for calculating the values of multi-branch map hierarchies. Finally, this paper presents preliminary experiments and comments on the usefulness of the proposed methodology tool. (C) 2003 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/S0957-4174(03)00140-4	en
dc.identifier.isi	ISI:000188124300013	en
dc.identifier.volume	26	en
dc.identifier.issue	2	en
dc.identifier.spage	257	en
dc.identifier.epage	268	en