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불완전정보하의 다요소의사결정을 위한 일반화된 선형계획법
박경삼 한국경영과학회 2019 한국경영과학회지 Vol.44 No.2
This study is concerned with the use of incomplete information on both decision alternative scores and importance weights in multiple attribute decision making (MADM). Incomplete information implies various forms of ordinal and bound data on the alternative scores and weights, which often occurs in practice. In the case of incomplete information, two different mathematical programming models can be built to evaluate the alternatives, both of which become nonlinear programming problems. One scenario seeks to evaluate an alternative in the best scenario for the given incomplete information, also referred as the most optimistic evaluation approach. By contrast, the other scenario seeks the worst scenario, referred as the most pessimistic approach. The earlier work has resolved the optimistic evaluation problem, which transforms the nonlinear model into a linear programming model. However, knowing how to solve the pessimistic evaluation problem remains unclear for MADM with incomplete information. We therefore show in this study that the generalized linear programming techniques can solve the pessimistic evaluation problem, which alters the nonlinear model into a class of linear programming models. This scheme accomplishes a more complete evaluation because the non-dominated alternative evaluated under the worst scenario is superior to the non-dominated alternatives under the best scenario. An application of the software selection problem is also demonstrated.
신경망을 이용한 경영평가와 그 지원을 위한 지식기반시스템 : 사례
박경삼,김성희 한국전문가시스템학회 1994 학술대회 Vol.1 No.1
In recent, Decision Support Systems (DSS) research has .Teen a more to combine Artificial Intelligence (AI) including neural networks 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.