AN INEXACT REASONING TECHNIQUE BASED ON EXTENDED FUZZY PRODUCTION RULES

被引：6
|
作者：
CHEN, SM
KE, JS
CHANG, JF
机构：
[1] Department of Electrical Engineering National Taiwan University, Taipei
来源：
CYBERNETICS AND SYSTEMS | 1991年 / 22卷 / 02期
关键词：
11;
D O I：
10.1080/01969729108902276
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a technique for performing inexact reasoning, where extended fuzzy production rules are used for knowledge representation. An extended fuzzy production rule is a rule that describes a fuzzy relation between two conditions. The certainty factor (CF) and the truth values of the conditions of an extended fuzzy production rule are defined as a continuous range of values. An efficient algorithm is also presented for performing inexact reasoning automatically, where given the truth values of some conditions, the algorithm can perform inexact reasoning to evaluate the truth values of other conditions.
引用
收藏
页码：151 / 171
页数：21
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