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基于Rough Set的规则自动抽取设计方案 被引量:10

Approach of Rule Automatic Extraction Based on Rough Set
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摘要 知识获取是专家系统的重要研究领域,而理论以理论的独特之处成为这一领域的有效工具。文章针对一具体专家系统Rough Set--专家系统在知识获取方面能力的不足,简要介绍其知识表示和知识获取的方法后,提出了一种基于理论的规则自动抽取OTCA-ES--Rough Set的设计方案。 Knowledge acquisition is a critical research field of expert system (ES). Rough Set (RS) theory is a valid and practical method in this field for its special ability in dealing with vagueness and uncertainty and for its objectivity in the process of knowledge acquisition. This paper focuses on the shortage of a particular ES knowledge base, the one of OTCA-ES, in knowledge acquisition. A brief description is given first about the methods of knowledge acquisition and representation in OTC (Over The Counter Home Remedies) consultative ES. In the second part an approach of automatic extraction of production rules for OTCA-ES based on RS is proposed.
出处 《计算机工程》 CAS CSCD 北大核心 2002年第3期167-168,213,共3页 Computer Engineering
关键词 ROUGH SET理论 可辨别矩阵 约简 代表值 规则自动抽取 知识获取 专家系统 Rough Set theory Rule extraction Discernibility matrix Reduct Representative value
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参考文献4

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二级参考文献2

  • 1Ewa Or?owska. Kripke semantics for knowledge representation logics[J] 1990,Studia Logica(2):255~272
  • 2Alan Bundy. Incidence calculus: A mechanism for probabilistic reasoning[J] 1985,Journal of Automated Reasoning(3):263~283

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