A cost-based fuzzy system for pattern classification with class importance

被引：9

作者：

Nakashima T. ^{[1
]}

Yokota Y. ^{[1
]}

Ishibuchi H. ^{[1
]}

Schaefer G. ^{[2
]}

机构：

[1] Graduate School of Engineering, Osaka Prefecture University, Sakai, Naka-ku, Osaka 599-8531

[2] School of Engineering and Applied Science, Aston University, Birmingham

来源：

Artificial Life and Robotics | 2008年 / 12卷 / 1-2期

关键词：

Class importance; Cost-based; Fuzzy systems; Pattern classification; Rule-based systems;

D O I：

10.1007/s10015-007-0439-7

中图分类号：

学科分类号：

摘要：

This paper proposes a cost-based fuzzy classification system for pattern classification problems with an order of class importance. The task here is to minimize the misclassification of patterns from an important class. It is assumed that the classification importance is given for each class, not for each pattern. Another assumption is that only the order of importance is given for given classes without any numerical measures of importance. We show the performance of the proposed cost-based fuzzy classification system for a real-world pattern classification problem. © 2008 International Symposium on Artificial Life and Robotics (ISAROB).

引用

页码：43 / 46

页数：3

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