On Liu's Inference Rules for Fuzzy Inference Systems

被引：0

作者：

Gao, Xin ^{[1
]}

Ralescu, Dan A. ^{[2
]}

Gao, Yuan ^{[3
]}

机构：

[1] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China

[2] Univ Cincinnati, Dept Math Sci, Cincinnati, OH 45221 USA

[3] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China

来源：

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND METHODS, PT 1 | 2010年 / 80卷

基金：

中央高校基本科研业务费专项资金资助;

关键词：

Fuzzy inference; inference rule; credibility theory;

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：

Liu's inference is a process of deriving consequences from fuzzy knowledge or evidence via the tool of conditional credibility. Using membership functions, this paper derives some expressions of Liu's inference rule for fuzzy systems. This paper also gives some new inference rules with multiple antecedents and with multiple if-then rules.

引用

页码：571 / +

页数：2

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