Asia pacific journal of information systems
- 제2권1호
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- Pages.35-56
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- 1992
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- 2288-5404(pISSN)
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- 2288-6818(eISSN)
지능적 전략계획시스템 설계를 위한 지식기초 의사결정지원체제와 인공신경망과의 결합
Synergism of Knowledge-Based Decision Support Systems and Neural Networks to Design an Intelligent Strategic Planning System
Abstract
This paper proposes a synergism of neural networks (NN) and knowledge-based decision support system (KBDSS) to effectively design an intelligent strategic planning system. Since conventional KBDSS becomes inoperative partially or totally when problem deviates slightly from the expected problem-domain, a new DSS concept is needed for designing an effective strategic planning system, where strategic planning environment is usually turbulent and consistently changing. In line with this idea, this paper developes a NN-based DSS, named ConDSS, incorporating the generalization property of NN into its knowledge base. The proposed ConDSS was extensively operated in an experimentally designed environment with three models: BCG matrix, Growth/Gain matrix, and GE matrix. The results proved very promising when encountered with unforeseen situations in comparisons with conventional KBDSS.
Keywords