基于模糊框架-产生式知识表示及推理研究

知识表示是专家系统求解能力及正确性的基础。针对不同知识表示方法的局限性,采用框架与产生式知识表示法结合表示专家知识。同时鉴于传统知识表示及推理方法在描述事实生产中不确定知识及经验中的缺陷问题,将模糊推理与知识表示相结合,应用模糊因子,定量细化描述模糊知识;并结合知识表示特点应用动态加权平均匹配函数及模糊推理方法,提出基于模糊框架-产生式知识表示方法及推理的研究,量化地表示知识及推理过程,为决策人员提供更加直观、准确的推理依据。

Research on Knowledge Representation and Inference Based on Fuzzy Framework-production

Knowledge representation is the basis of expert system solving ability and correctness. According to the limitations from differ-ent knowledge representations,use framework and production knowledge representation combining to express the expert knowledge. At the same time,in consideration of the defects coming from traditional knowledge representation and reasoning method in describing the uncertain and experience,combining the fuzzy reasoning and knowledge representation,and applying fuzzy factors,quantificationally and detailedly describe fuzzy knowledge. And combining with the characteristics of knowledge representation,using dynamic weighted aver-age matching function and fuzzy reasoning method, present the research on knowledge representation and reasoning method based on fuzzy framework-production,quantitatively represent the knowledge and reasoning process,providing decision makers with more intuitive and accurate basis of reasoning.