A new fuzzy reasoning method based on the use of the Choquet integral

被引：0
|
作者：
Sanz, J. [1 ]
Lopez-Molina, C. [1 ]
Cerron, J. [1 ]
Mesiar, R. [2 ]
Bustince, H. [1 ]
机构：
[1] Univ Publ Navarra, Dept Automat & Comp, Pamplona 31006, Spain
[2] Slovak Univ Tech Bratislava, Fac Civil Engn, Dept Math, Bratislava SK-81368, Slovakia
来源：
PROCEEDINGS OF THE 8TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-13) | 2013年 / 32卷
关键词：
Fuzzy rule-based classification systems; Choquet integral; fuzzy measure; fuzzy reasoning method; evolutionary algorithm; SOFTWARE TOOL; ALGORITHMS; COMBINATION; DESIGN; KEEL;
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：
In this work we use the Choquet integral as an aggregation function and we apply it in the fuzzy reasoning method of fuzzy rule-based classification systems. We study the behaviour of several fuzzy measures and we propose a genetic learning method of an appropriate fuzzy measure to model the interaction among the set of rules of each class. In the experimental study we show that the new proposal allows the performance of the fuzzy reasoning method of the winning rule to be outperformed when dealing with classification problems in which several fuzzy rules are fired to classify each example.
引用
收藏
页码：691 / 698
页数：8
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