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

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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


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