A Combination of Positive and Negative Fuzzy Rules for Image Classification Problem

被引：5
|
作者：
Nguyen, Thanh Minh [1 ]
Wu, Q. M. Jonathan [1 ]
机构：
[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
来源：
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICMLA.2008.14
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 paper we propose a new fuzzy rule-based system for application in image classification problem. Each rule in our proposed system can represent more than one class. While traditional fuzzy systems consider positive fuzzy rules only, in this paper, we focus on combining negative fuzzy rules with traditional positive ones leading to fuzzy inference systems. This new approach has been tested on image classification problem consisting of multiple images with excellent results.
引用
收藏
页码：741 / 746
页数：6
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