The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets

Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al. (2011) introduced the notion of soft fuzzy rough sets by combining fuzzy sets, rough sets, and soft s...

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Main Author: Zhiming Zhang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2013/197435
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author Zhiming Zhang
author_facet Zhiming Zhang
author_sort Zhiming Zhang
collection DOAJ
description Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al. (2011) introduced the notion of soft fuzzy rough sets by combining fuzzy sets, rough sets, and soft sets all together. The aim of this paper is to study the parameter reduction of fuzzy soft sets based on soft fuzzy rough approximation operators. We propose some concepts and conditions for two fuzzy soft sets to generate the same lower soft fuzzy rough approximation operators and the same upper soft fuzzy rough approximation operators. The concept of reduct of a fuzzy soft set is introduced and the procedure to find a reduct for a fuzzy soft set is given. Furthermore, the concept of exclusion of a fuzzy soft set is introduced and the procedure to find an exclusion for a fuzzy soft set is given.
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institution Kabale University
issn 1687-7101
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-460c2956c5d941cf8a6482d7d86c2e892025-02-03T01:27:17ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/197435197435The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough SetsZhiming Zhang0College of Mathematics and Computer Science, Hebei University, Baoding, Hebei 071002, ChinaFuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al. (2011) introduced the notion of soft fuzzy rough sets by combining fuzzy sets, rough sets, and soft sets all together. The aim of this paper is to study the parameter reduction of fuzzy soft sets based on soft fuzzy rough approximation operators. We propose some concepts and conditions for two fuzzy soft sets to generate the same lower soft fuzzy rough approximation operators and the same upper soft fuzzy rough approximation operators. The concept of reduct of a fuzzy soft set is introduced and the procedure to find a reduct for a fuzzy soft set is given. Furthermore, the concept of exclusion of a fuzzy soft set is introduced and the procedure to find an exclusion for a fuzzy soft set is given.http://dx.doi.org/10.1155/2013/197435
spellingShingle Zhiming Zhang
The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems
title The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
title_full The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
title_fullStr The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
title_full_unstemmed The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
title_short The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
title_sort parameter reduction of fuzzy soft sets based on soft fuzzy rough sets
url http://dx.doi.org/10.1155/2013/197435
work_keys_str_mv AT zhimingzhang theparameterreductionoffuzzysoftsetsbasedonsoftfuzzyroughsets
AT zhimingzhang parameterreductionoffuzzysoftsetsbasedonsoftfuzzyroughsets