한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)
- 제19권2호
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- Pages.129-151
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- 1994
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- 1225-1119(pISSN)
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- 2733-4759(eISSN)
A Knowledge-Based System Using a Neural Network for Management Evaluation and its Support
- Kim, Soung-Hie (Department of Management Information Systems, KAIST) ;
- Park, Kyung-Sam (Department of Industrial Engineering, KAIST) ;
- Jeong, Kuen-Chae (Department of Industrial Engineering, KAIST)
- 발행 : 1994.08.01
초록
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.
키워드