A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators

Rough set theory is a suitable tool for dealing with the imprecision, uncertainty, incompleteness, and vagueness of knowledge. In this paper, new lower and upper approximation operators for generalized fuzzy rough sets are constructed, and their definitions are expanded to the interval-valued enviro...

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Main Authors: Tianyu Xue, Zhan’ao Xue, Huiru Cheng, Jie Liu, Tailong Zhu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/783940
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author Tianyu Xue
Zhan’ao Xue
Huiru Cheng
Jie Liu
Tailong Zhu
author_facet Tianyu Xue
Zhan’ao Xue
Huiru Cheng
Jie Liu
Tailong Zhu
author_sort Tianyu Xue
collection DOAJ
description Rough set theory is a suitable tool for dealing with the imprecision, uncertainty, incompleteness, and vagueness of knowledge. In this paper, new lower and upper approximation operators for generalized fuzzy rough sets are constructed, and their definitions are expanded to the interval-valued environment. Furthermore, the properties of this type of rough sets are analyzed. These operators are shown to be equivalent to the generalized interval fuzzy rough approximation operators introduced by Dubois, which are determined by any interval-valued fuzzy binary relation expressed in a generalized approximation space. Main properties of these operators are discussed under different interval-valued fuzzy binary relations, and the illustrative examples are given to demonstrate the main features of the proposed operators.
format Article
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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-ed460fa81b3a4e92919f2d5c3f7fb6272025-02-03T01:33:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/783940783940A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation OperatorsTianyu Xue0Zhan’ao Xue1Huiru Cheng2Jie Liu3Tailong Zhu4College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, ChinaCollege of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, ChinaCollege of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaCollege of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, ChinaCollege of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, ChinaRough set theory is a suitable tool for dealing with the imprecision, uncertainty, incompleteness, and vagueness of knowledge. In this paper, new lower and upper approximation operators for generalized fuzzy rough sets are constructed, and their definitions are expanded to the interval-valued environment. Furthermore, the properties of this type of rough sets are analyzed. These operators are shown to be equivalent to the generalized interval fuzzy rough approximation operators introduced by Dubois, which are determined by any interval-valued fuzzy binary relation expressed in a generalized approximation space. Main properties of these operators are discussed under different interval-valued fuzzy binary relations, and the illustrative examples are given to demonstrate the main features of the proposed operators.http://dx.doi.org/10.1155/2014/783940
spellingShingle Tianyu Xue
Zhan’ao Xue
Huiru Cheng
Jie Liu
Tailong Zhu
A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
The Scientific World Journal
title A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
title_full A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
title_fullStr A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
title_full_unstemmed A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
title_short A Novel Method of the Generalized Interval-Valued Fuzzy Rough Approximation Operators
title_sort novel method of the generalized interval valued fuzzy rough approximation operators
url http://dx.doi.org/10.1155/2014/783940
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