On Generalized Variable Precision Rough Fuzzy Set Model

被引：0

作者：

Sun Shibao ^{[1
]}

Li Min ^{[1
]}

Qin Keyun ^{[2
]}

机构：

[1] Henan Univ Sci & Technol, Elect Informat Engn Coll, Luoyang 471003, Henan, Peoples R China

[2] Southwest Jiaotong Univ, Intelligent Control Dev Ctr, Chengdu 610031, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

基金：

中国国家自然科学基金;

关键词：

Variable Precision Rough Set; Rough Fuzzy Set; Generalized Variable Precision Rough Fuzzy Set and Approximation Reduction;

D O I：

10.1109/CCDC.2008.4597809

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Generalized Ziarko's variable precision rough set model and generalized rough fuzzy set model are introduced and the drawbacks of them are found. Based on support relative error ratio and error parameter beta (0 <=beta<0:5), the generalized variable precision rough fuzzy set model is proposed. The basic properties of lower and upper approximation operators are investigated. The relation of between this model and other rough set models is analyzed in detail.

引用

页码：2664 / 2667

页数：4

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