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复合模糊命题的真值及其信息量计算的新方法
引用本文:刘纯武,孙即祥.复合模糊命题的真值及其信息量计算的新方法[J].软件学报,1998,9(11):857-860.
作者姓名:刘纯武  孙即祥
作者单位:1. 长沙工学院学机电工程与仪器系,长沙,410073
2. 长沙工学院电子工程学院,长沙,410073
基金项目:本文研究得到国防预研基金资助.
摘    要:从模糊信息量入手,对复合模糊命题的真值及其模糊信息量的计算进行了探讨,提出了一种新方法.此方法既考虑了子命题的逻辑关系,又考虑了子命题的相对重要程度而不丢失过多信息.实验证明,这种方法克服了封闭性、信息丢失、二义失效和全同失效的缺陷,能获得较合理的结果.

关 键 词:模糊信息量  加权模糊逻辑  模糊命题  真值.
收稿时间:1997/5/15 0:00:00
修稿时间:1997/10/14 0:00:00

A New Algorithm to the Truth Value and Its Information Amount of Compound Fuzzy Proposition
LIU Chun-wu and SUN Ji-xiang.A New Algorithm to the Truth Value and Its Information Amount of Compound Fuzzy Proposition[J].Journal of Software,1998,9(11):857-860.
Authors:LIU Chun-wu and SUN Ji-xiang
Affiliation:LIU Chun wu 1\ SUN Ji xiang 2 1 (Department of Mechatronics Engineering and Instrumentation\ Changsha Institute of Technology\ Changsha\ 410073) 2 (Institute of Electronic Engineering\ Changsha Institute of Technology\ Changsha\ 410073)
Abstract:In this paper, the algorithm to the truth value and information amount of compound fuzzy proposition from fuzzy information amount is presented. The new algorithm is effective because it is relative to logic and relative importance between sub-propositions, and loses a little information. Through the experiments, the new algorithm eliminates the drawback of losing information, closing and invalidates of whole equality and ambiguity, and the reasonable results can be obtained.
Keywords:Fuzzy information amount  weighted fuzzy logic  fuzzy proposition  truth value  
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