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多规则具有相同结论情况下的可信度偏差
引用本文:张玲,吴爱仙,胡东红,孔华锋.多规则具有相同结论情况下的可信度偏差[J].湖北大学学报(自然科学版),2001,23(3):213-216.
作者姓名:张玲  吴爱仙  胡东红  孔华锋
作者单位:[1]湖北大学物理学与电子技术学院,湖北武汉430062 [2]华中科技大学图象所,湖北武汉430074
摘    要:Shortliffe等人在名的MYCIN计算机医疗专家系统中提出了一种非精确推理模型,在该模型中,当多规则(3条以上)具有相同结论时,结论的可信度依赖于对规则的采纲顺序,对由此产生的可信度偏差进行了分析,给出了多规则具有相同结论情况下估计可信度最大偏差的方法,并从尽量模仿人类思维与尽量推出准确结论两个方面对结果进行了分析。

关 键 词:人工智能  专家系统  非精确推理模型  可信度偏差  MYCIN  推理规则
文章编号:1000-2375(2001)03-0213-04
修稿时间:2001年1月11日

Certainty factor discrepancy under multi-rules with the same conclusion
Zhang Ling ,Wu Aixian ,Hu Donghong ,Kong Huafeng.Certainty factor discrepancy under multi-rules with the same conclusion[J].Journal of Hubei University(Natural Science Edition),2001,23(3):213-216.
Authors:Zhang Ling  Wu Aixian  Hu Donghong  Kong Huafeng
Institution:Zhang Ling 1,Wu Aixian 1,Hu Donghong 2,Kong Huafeng 3
Abstract:Shortliffe proposed an uncertainty reasoning model in the famous MYCIN Computer-Based Medical Consultations. In this model, the centainty factor of the conclusion depends on the order of the rules being adopted. The discrepancy of the centainty factor arosed by the above condition is discussed and the max-discrepancy in the above condition is also analysed. A method is proposed for calculating the max-discrepancy of the centainty factor. The conclusion is discussed, from the two aspects, trying to imitate the human's thinking way or trying to get the correct results.
Keywords:artificial intelligence  experter system  uncertainty reasoning  certainty factor discrepancy  
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