New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables

In the rough fuzzy set theory, the rough degree is used to characterize the uncertainty of a fuzzy set, and the rough entropy of a knowledge is used to depict the roughness of a rough classification. Both of them are effective, but they are not accurate enough. In this paper, we propose a new rough...

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Main Authors: Huani Qin, Darong Luo
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/487036
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author Huani Qin
Darong Luo
author_facet Huani Qin
Darong Luo
author_sort Huani Qin
collection DOAJ
description In the rough fuzzy set theory, the rough degree is used to characterize the uncertainty of a fuzzy set, and the rough entropy of a knowledge is used to depict the roughness of a rough classification. Both of them are effective, but they are not accurate enough. In this paper, we propose a new rough entropy of a rough fuzzy set combining the rough degree with the rough entropy of a knowledge. Theoretical studies and examples show that the new rough entropy of a rough fuzzy set is suitable. As an application, we introduce it into a fuzzy-target decision-making table and establish a new method for evaluating the entropy weight of attributes.
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institution Kabale University
issn 1110-757X
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language English
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publisher Wiley
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spelling doaj-art-28c91768ac7e47a486aba4d0a545181c2025-08-20T03:54:47ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/487036487036New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making TablesHuani Qin0Darong Luo1College of Mathematics and Computation Science, Wuyi University, Jiangmen, Guangdong 529020, ChinaCollege of Economics and Management, Wuyi University, Jiangmen, Guangdong 529020, ChinaIn the rough fuzzy set theory, the rough degree is used to characterize the uncertainty of a fuzzy set, and the rough entropy of a knowledge is used to depict the roughness of a rough classification. Both of them are effective, but they are not accurate enough. In this paper, we propose a new rough entropy of a rough fuzzy set combining the rough degree with the rough entropy of a knowledge. Theoretical studies and examples show that the new rough entropy of a rough fuzzy set is suitable. As an application, we introduce it into a fuzzy-target decision-making table and establish a new method for evaluating the entropy weight of attributes.http://dx.doi.org/10.1155/2014/487036
spellingShingle Huani Qin
Darong Luo
New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
Journal of Applied Mathematics
title New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
title_full New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
title_fullStr New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
title_full_unstemmed New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
title_short New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
title_sort new uncertainty measure of rough fuzzy sets and entropy weight method for fuzzy target decision making tables
url http://dx.doi.org/10.1155/2014/487036
work_keys_str_mv AT huaniqin newuncertaintymeasureofroughfuzzysetsandentropyweightmethodforfuzzytargetdecisionmakingtables
AT darongluo newuncertaintymeasureofroughfuzzysetsandentropyweightmethodforfuzzytargetdecisionmakingtables