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基于规则的非精确反向推理专家系统
Expert system Non-exact and backward reasoning based on rules and certainty theory
【摘要】 专家系统是人工智能的重要应用领域,基于反向推理的产生式系统是其最有效的知识表示形式和逻辑推理的基本模型。在详细分析其基本结构的基础上,采用规则和确定性因子描述不确定性知识,提出了反向非精确推理的算法,分析了解释机制、知识获取机制的实现手段,为专家系统的设计与开发提供了重要依据。
【Abstract】 Expert system is an important applied field of artificial intelligence, the production system based on backward reasoning is the most effective expression mode of knowledge and the basic model of logical reasoning. This paper analyses its basic structure in detail, describes non-certain knowledge with rules and certainty factor, puts forward the algorithm of backward and non-exact reasoning, gives the programming methods of explanation mechanism and knowledge acquisition mechanism, which provides an important basis for the designing of expert systems.
【关键词】 产生式规则;
非精确反向推理;
专家系统;
【Key words】 production rules; non-exact and backward reasoning; expert system;
【Key words】 production rules; non-exact and backward reasoning; expert system;
- 【文献出处】 辽宁工程技术大学学报 ,Journal of Liaoning Technical University , 编辑部邮箱 ,2003年S1期
- 【分类号】TP182
- 【被引频次】14
- 【下载频次】172