Cost-Sensitive Techniques for Fuzzy Rule-Based Pattern Classification

被引：0
|
作者：
Nakashima, Tomoharu [1 ]
Shoji, Yukio [1 ]
Schaefer, Gerald [2 ]
机构：
[1] Osaka Prefecture Univ, Osaka, Japan
[2] Aston Univ, Birmingham B4 7ET, West Midlands, England
来源：
2008 WORLD AUTOMATION CONGRESS PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
Classification cost; Data mining; Fuzzy rule-based systems; Pattern classification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper surveys cost-sensitive fuzzy rule-based systems for pattern classification. Weighted training patterns are used to construct cost-sensitive fuzzy rule-based systems. A fuzzy classification system is constructed from a given set of training patterns. It is assumed that a weight is assigned to each training pattern a priori. The weight of training patterns can be determined based on their distribution. We show an example of weight assignment for a two-dimensional problem.
引用
收藏
页码：191 / +
页数：2
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