의사결정지원시스템에서 직관적이고 사용자 친숙한 모델 해결을 위한 모델과 솔버의 유연한 통합에 대한 연구 = Flexible Intergration of Models and Solvers for Intuitive and User-Friendly Model-Solution in Decision Support Systems

다국어 초록 (Multilingual Abstract)

Research in the decision sciences has continued to develop a variety of mathematical models as well as software tools supporting corporate decision-making. Yet, in spite of their potential usefulness, the models are little used in real-world decision making since the model solution processes are too complex for ordinary users to get accustomed. This paper proposes an intelligent and flexible model-solver integration framework that enables the suer to solve decision problems using multiple models and solvers without having precise knowledge of the model-solution processes. Specifically, for intuitive model-solution, the framework enables a decision support system to suggest the compatible solvers of a model autonomously without direct user intervention and to solve the model by matching the model and solver parameters intelligently without any serious conflicts. Thus, the framework would improve the productivity of institutional model solving tasks by relieving the user from the burden of learning model and solver semantics requiring considerable time and efforts.

목차 (Table of Contents)

• Abstract
• 1. 개요
• 2. 문헌 연구
• 3. 포괄모델개념을 이용한 모델과 솔버의 표현구조
• 4. 모델, 솔버 통합 프레임웍
• 5. 제안 프레임웍의 의의 및 한계
• 6. 결론
• 참고문헌

참고문헌 (Reference)

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