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基于Vague集的近似推理方法
引用本文:李凡,田应忠,吕泽华.基于Vague集的近似推理方法[J].华中科技大学学报(自然科学版),2004,32(4):44-46.
作者姓名:李凡  田应忠  吕泽华
作者单位:华中科技大学计算机科学与技术学院,湖北,武汉,430074
基金项目:国家高性能计算基金资助项目 (0 0 30 3)
摘    要:针对Vague集之间相似程度的度量方法存在的缺陷,给出了一种新的相似度量方法。同时,也提出了一种新的Vague集的交并运算规则,并用实例说明了基于这种相似度量的近似推理的推理过程,为智能系统中的近似推理提供了一个十分有用的工具。

关 键 词:Fuzzy集  vague集  真/假隶属函数  相似度量  近似推理
文章编号:1671-4512(2004)04-0044-03
修稿时间:2003年8月11日

An approximate reasoning approach based on the measures of similarity between vague sets
Li Fan Tian Yingzhong Lu Zehua Prof., College of Computer Sci. & Tech..,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..An approximate reasoning approach based on the measures of similarity between vague sets[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(4):44-46.
Authors:Li Fan Tian Yingzhong Lu Zehua Prof  College of Computer Sci & Tech  Huazhong Univ of Sci & Tech  Wuhan  China
Institution:Li Fan Tian Yingzhong Lu Zehua Prof., College of Computer Sci. & Tech..,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:Aimed at the measures of similarity given in No.1of the literature,the new measures of the similarity was given with more rational factors. A new definition of intersection and union in Vague set was given. An example was used to interpret the new method of approach reasoning,and a useful tool for approximate reasoning in intelligent systems was provided.
Keywords:fuzzy set  Vague set  true/false membership function  similarity measure  approximate reasoning
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