On a Criterion of Similarity between Partitions Based on Rough Set Theory

被引：0

作者：

Kudo, Yasuo ^{[1
]}

Murai, Tetsuya ^{[2
]}

机构：

[1] Muroran Inst Technol, Coll Informat & Syst, Mizumoto 27-1, Muroran, Hokkaido 0508585, Japan

[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido 0600814, Japan

来源：

ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS | 2009年 / 5908卷

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：

In this paper, we introduce a criterion of similarity between partitions. The proposed similarity criterion is a generalization of an evaluation criterion of relative reducts proposed by the authors and evaluates the similarity of partitions by correctness and roughness with each other. Moreover, for comparison of similarity scores between different universes, we also propose a normalized similarity criterion.

引用

页码：101 / +

页数：2

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