EFFICIENT FUZZY PARTITION OF PATTERN SPACE FOR CLASSIFICATION PROBLEMS

被引：57

作者：

ISHIBUCHI, H

NOZAKI, K

TANAKA, H

机构：

[1] Department of Industrial Engineering, University of Osaka Prefecture, Sakai, Osaka, 593

来源：

FUZZY SETS AND SYSTEMS | 1993年 / 59卷 / 03期

关键词：

CLASSIFICATION PROBLEMS; RULE GENERATION; FUZZY IF-THEN RULES; FUZZY PARTITION;

D O I：

10.1016/0165-0114(93)90474-V

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes an efficient fuzzy partition method of a pattern space for classification problems. The proposed method is based on the sequential subdivision of fuzzy subspaces and the generated fuzzy subspaces have different sizes. In the proposed method, first an n-dimensional pattern space is divided into 2'' fuzzy subspaces with the same size. Next one of the fuzzy subspaces is selected and subdivided into 2'' fuzzy subspaces. This procedure is iterated until a stopping condition is satisfied. Some criteria for selecting a fuzzy subspace to be subdivided are proposed and compared with each other by computer simulations. The proposed method is also compared with other fuzzy classification methods.

引用

页码：295 / 304

页数：10

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