On Selection of Relevant Fuzzy Implications in Approximate Reasoning

被引：0
|
作者：
Suraj, Zbigniew [1 ]
机构：
[1] Univ Rzeszow, Fac Math & Nat Sci, Rzeszow, Poland
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2018 | 2019年 / 845卷
关键词：
Fuzzy implication; Fuzzy production rule; Knowledge representation; Approximate reasoning; Intelligent system; Rule-based system;
D O I：
10.1007/978-3-319-99010-1_19
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper describes a methodology for selecting relevant fuzzy implications in forward and backward reasoning. The proposed methodology is based on the functional representation of fuzzy implications and dependencies between fuzzy implications. This can be useful for the design of an inference engine based on the rule knowledge for a given rule-based system.
引用
收藏
页码：208 / 218
页数：11
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