Expert systems in business: Applications and future directions for the operations researcher

Metaxiotis, K; Psarras, J

dc.contributor.author	Metaxiotis, K	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T11:44:33Z
dc.date.available	2014-03-01T11:44:33Z
dc.date.issued	2003	en
dc.identifier.issn	0263-5577	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37010
dc.subject	Artificial intelligence	en
dc.subject	Business development	en
dc.subject	Expert systems	en
dc.subject	Operational research	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Industrial	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Computer systems	en
dc.subject.other	Decision making	en
dc.subject.other	Operations research	en
dc.subject.other	Business development	en
dc.subject.other	Expert systems	en
dc.title	Expert systems in business: Applications and future directions for the operations researcher	en
heal.type	other	en
heal.identifier.primary	10.1108/02635570310477	en
heal.identifier.secondary	http://dx.doi.org/10.1108/02635570310477	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	Intelligent solutions, based on expert systems (ES), to solve complicated practical problems in various sectors are becoming more and more widespread nowadays. Expert systems are being developed and deployed worldwide in myriad applications, mainly because of their symbolic reasoning and its explanation capabilities. Provides an overview for the operations researcher of the expert systems methodology, as well as their historical and current use in business. Aims to present and focus on the wide range of business areas of ES applications, avoiding an in-depth analysis of all the applications - with varying success - recorded in the literature. Reveals that, although still regarded as a novel methodology, ES are shown to have matured to the point of offering real practical benefits in many of their applications.	en
heal.publisher	EMERALD	en
heal.journalName	Industrial Management and Data Systems	en
dc.identifier.doi	10.1108/02635570310477	en
dc.identifier.isi	ISI:000184514500007	en
dc.identifier.volume	103	en
dc.identifier.issue	5-6	en
dc.identifier.spage	361	en
dc.identifier.epage	368	en