A feature selection method based on choquet integral and typicality analysis

被引：0

作者：

Mazaud, Cyril ^{[1
]}

Rendek, Jan ^{[2
]}

Bombardier, Vincent ^{[3
]}

Wendling, Laurent ^{[4
]}

机构：

[1] Univ Henri Poincare, CNRS, UMR 7039, CRAN,Res Ctr Automat Control, Campus Sci,BP 239, F-54506 Vandoeuvre Les Nancy, France

[2] Univ Henri Poincare, LORIA, UMR 7053, Lorraine Lab IT Res Appl, Nancy, France

[3] Res Ctr Automat Control CRAN, Lille, France

[4] LORIA, Lorraine Lab IT Res Appl, Nancy, France

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 | 2007年

关键词：

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：

An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecting the best significant features among a fist extracted from images. The inference mechanism uses a fuzzy linguistic rule-based system. This method is applied here to a wood defect classification problem. Nowadays, feature selection is expertise-driven and most of the time, expert uses features by habits which not always represent the best ones to use. The proposed approach aims to replace expert selection by automatically choosing a suitable set of features to the recognition problem.

引用

页码：1708 / +

页数：2

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