DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Soung Hie | ko |
dc.contributor.author | Park, Kyung Sam | ko |
dc.contributor.author | Jeong, Keun Chae | ko |
dc.date.accessioned | 2013-02-25T17:10:05Z | - |
dc.date.available | 2013-02-25T17:10:05Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1994-08 | - |
dc.identifier.citation | JOURNAL OF THE KOREAN OPERATIONS RESEARCH AND MANAGEMENT SCIENCE SOCIETY, v.19, no.2, pp.129 - 151 | - |
dc.identifier.issn | 1225-1119 | - |
dc.identifier.uri | http://hdl.handle.net/10203/63806 | - |
dc.description.abstract | Recently, 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.language | English | - |
dc.publisher | The Korean Operations and Management Science Society | - |
dc.title | A Knowledge-Based System Using a Neural Network for Management Evaluation and Its Support | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 129 | - |
dc.citation.endingpage | 151 | - |
dc.citation.publicationname | JOURNAL OF THE KOREAN OPERATIONS RESEARCH AND MANAGEMENT SCIENCE SOCIETY | - |
dc.contributor.localauthor | Kim, Soung Hie | - |
dc.contributor.nonIdAuthor | Park, Kyung Sam | - |
dc.contributor.nonIdAuthor | Jeong, Keun Chae | - |
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