Revision principle applied for approximate reasoning

被引：0

作者：

Ding, LY ^{[1
]}

Wang, PZ ^{[1
]}

Mukaidono, M ^{[1
]}

机构：

[1] Natl Univ Singapore, Singapore 117548, Singapore

来源：

NEW PARADIGM OF KNOWLEDGE ENGINEERING BY SOFT COMPUTING | 2001年 / 5卷

关键词：

approximate reasoning; revision principle; linear revising methods; semantic revising methods; semantic approximation; approximation measure;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The basic concept of revision principle proposed for approximate reasoning is that the modification (revision) of consequent is decided by the difference (deviation) between input (given fact) and antecedent and the revising processing is based on some kind of relation between antecedent and consequent. Five revising methods have been introduced based on linear and semantic relation for approximate reasoning. As a continuous work, this article discusses the revision principle applied for approximate reasoning with multiple fuzzy rules that contain multiple sub-antecedents. An approximation measure is proposed for the integration of revision. With a generalized approximation measure, the revision principle can be applied for more general cases of fuzzy sets.

引用

页码：121 / 148

页数：28

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