A Knowledge-Based System Using a Neural Network for Management Evaluation and Its Support

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dc.contributor.authorKim, Soung Hieko
dc.contributor.authorPark, Kyung Samko
dc.contributor.authorJeong, Keun Chaeko
dc.date.accessioned2013-02-25T17:10:05Z-
dc.date.available2013-02-25T17:10:05Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1994-08-
dc.identifier.citationJOURNAL OF THE KOREAN OPERATIONS RESEARCH AND MANAGEMENT SCIENCE SOCIETY, v.19, no.2, pp.129 - 151-
dc.identifier.issn1225-1119-
dc.identifier.urihttp://hdl.handle.net/10203/63806-
dc.description.abstractRecently, Decision Support Systems (DSS) research has seen a more to combine Artificial Intelligence (AI) including neural network techniques with traditional DSS concepts and technologies to build an intelligent DSS or a knowledge-based DSS. This article proposes a Management Evaluation and its Support System (MESS) as a knowledge-based DSS. The management evaluation of a firm means the performance of all managerial operations is appraised by considering the situations of the firm. A neural network is used to represent the management evaluation structure as a suitable means of management knowledge representation. Finally a case study in a telecommunication corporation is presented.-
dc.languageEnglish-
dc.publisherThe Korean Operations and Management Science Society-
dc.titleA Knowledge-Based System Using a Neural Network for Management Evaluation and Its Support-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume19-
dc.citation.issue2-
dc.citation.beginningpage129-
dc.citation.endingpage151-
dc.citation.publicationnameJOURNAL OF THE KOREAN OPERATIONS RESEARCH AND MANAGEMENT SCIENCE SOCIETY-
dc.contributor.localauthorKim, Soung Hie-
dc.contributor.nonIdAuthorPark, Kyung Sam-
dc.contributor.nonIdAuthorJeong, Keun Chae-
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MT-Journal Papers(저널논문)
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