Integrating fuzzy logic into decision suppport systems: Current research and future prospects

Metaxiotis, K; Psarras, J; Samouilidis, E

dc.contributor.author	Metaxiotis, K	en
dc.contributor.author	Psarras, J	en
dc.contributor.author	Samouilidis, E	en
dc.date.accessioned	2014-03-01T01:19:04Z
dc.date.available	2014-03-01T01:19:04Z
dc.date.issued	2003	en
dc.identifier.issn	09685227	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15354
dc.subject	Decision-support systems	en
dc.subject	Fuzzy logics	en
dc.subject	Uncertainty	en
dc.subject.other	Decision making	en
dc.subject.other	Decision support systems	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Operations research	en
dc.subject.other	Decentralized desision making	en
dc.subject.other	Fuzzy sets	en
dc.title	Integrating fuzzy logic into decision suppport systems: Current research and future prospects	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/09685220310468592	en
heal.identifier.secondary	http://dx.doi.org/10.1108/09685220310468592	en
heal.publicationDate	2003	en
heal.abstract	Companies deal with many decision-making processes whose impact on the global performance can be very strong. As a consequence, the role of the decision support systems (DSSs) within the organization is critical. Considering the imprecise or fuzzy nature of the data in real-world problems, it becomes obvious that the ability to manage uncertainty turns out to be a crucial issue for a DSS. In this framework, this paper discusses the key role of fuzzy logic (FL) in the DSSs, presents new applications of FL in DSSs in various sectors and identifies new challenges and new directions for further research.	en
heal.journalName	Information Management and Computer Security	en
dc.identifier.doi	10.1108/09685220310468592	en
dc.identifier.volume	11	en
dc.identifier.issue	2-3	en
dc.identifier.spage	53	en
dc.identifier.epage	59	en