AN EFFICIENT FUZZY REASONING APPROACH  

作　　者：李凡 

机构地区：[1]Department of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, PRC

出　　处：《Chinese Science Bulletin》1991年第11期951-955,共5页

摘　　要：In the rule-based knowledge system, the uncertainty of knowledge is usually represented in the form of IF antecedent THEN consequent WITH confidence x. If a certain rule is to be executed, the only condition needed is that, in the data base, there should be facts matching with the antecedent portion of the rule. Thus, the uncertainty is made to propogate in the reasoning network. But, this conventional production rule has

关 键 词：FUZZY production RULE FUZZY MATCHING FUNCTION FUZZY QUANTIFIER FUZZY predicate. 

分 类 号：N[自然科学总论]