Fuzzy reasoning based on generalized fuzzy If-Then rules

被引：8
|
作者：
Xu, Y
Liu, J
Ruan, D
Li, WJ
机构：
[1] CEN SCK, Belgian Nucl Res Ctr, B-2400 Mol, Belgium
[2] SW Jiaotong Univ, Dept Appl Math, Chengdu 610031, Sichuan, Peoples R China
[3] Univ Manchester, Inst Sci & Technol, Manchester Sch Management, Manchester M60 1QD, Lancs, England
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2002年 / 17卷 / 10期
关键词：
D O I：
10.1002/int.10056
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on a fuzzy reasoning method based on a generalized If-Then rule. Firstly, the antecedent and the consequent of an If-Then rule are considered and expressed as a component of a kind of binary L-type fuzzy relation on the product of the universes of discourse and the range of definition for a certain fuzzy attribute. Then a generalized extension principle based on this L-type fuzzy relation (FR-GEP) is constructed. Moreover, the paper gives a detailed description of this generalized If-Then rule using 20 well-known common implication operators in the framework of the composition of L-type fuzzy relations. Consequently, an L-type binary fuzzy reasoning method based on this generalized If-Then rule is established according to FR-GEP. (C) 2002 Wiley Periodicals, Inc.
引用
收藏
页码：977 / 1006
页数：30
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