Intuitionistic Fuzzy Control Based on Association Rules

被引：0
|
作者：
Iancu, Ion [1 ]
Gabroveanu, Mihai [1 ]
Cosulschi, Mirel [1 ]
机构：
[1] Univ Craiova, Dept Comp Sci, Craiova 200585, Romania
来源：
COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS | 2013年 / 8083卷
关键词：
fuzzy logic controller; intuitionistic fuzzy sets; t-norm; implication; association rules;
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 task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. In this paper we modify this controller in order to work with intuitionistic fuzzy sets and to activate a set of rules having the same conclusion. Usually, the inference rules used in a fuzzy logic controller are given by a domain expert; in our system, these rules are automatically induced as fuzzy association rules starting from a training set. The fuzzy confidence value associated with each rule is used to obtain the fuzzy set inferred by our system.
引用
收藏
页码：235 / 244
页数：10
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