CAJ | 학술논문

智能决策支持系统的性能和决策质量的优劣取决于知识库的内容和运行情况，随着系统和问题的日益复杂，知识库的规模越来越庞大，内容越来越复杂，需要提供有效的方法实现其优化管理。对智能决策支持系统中规则库的运行特性和可能的潜藏缺陷进行归纳分析，提出一种将传统优化方法和遗传算法相结合的二级规则库维护与求精机制，可以较好地识别和消除8种规则库缺陷，提高知识库的运行效率和推理求解效果。对各环节给出了具体的操作算法，可以实现在专家少量参与下的规则库自动优化。
지능결책지지계통적성능화결책질량적우렬취결우지식고적내용화운행정황，수착계통화문제적일익복잡，지식고적규모월래월방대，내용월래월복잡，수요제공유효적방법실현기우화관리。대지능결책지지계통중규칙고적운행특성화가능적잠장결함진행귀납분석，제출일충장전통우화방법화유전산법상결합적이급규칙고유호여구정궤제，가이교호지식별화소제8충규칙고결함，제고지식고적운행효솔화추리구해효과。대각배절급출료구체적조작산법，가이실현재전가소량삼여하적규칙고자동우화。
The performance of intelligent decision support system （IDSS） depends on the knowledge base quality. Knowledge base is becoming bigger and more complex, so it needs an effective method to optimize its management. A novel two-level rule base maintenance and refinement mechanism is proposed based on detail analyzing of the characteristics and potential detects of rule base used in IDSS. In the mechanism, conditional optimization approach and genetic algorithm are combined to recognize and eliminate eight kinds of detects in the rule base, which can improve the running efficiency and effects of knowledge base. Detail operations for each step are given and the automatic optimization of rule base can be realized with few help from experts.