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2014 New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables
Huani Qin, Darong Luo
J. Appl. Math. 2014: 1-7 (2014). DOI: 10.1155/2014/487036

Abstract

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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Huani Qin. Darong Luo. "New Uncertainty Measure of Rough Fuzzy Sets and Entropy Weight Method for Fuzzy-Target Decision-Making Tables." J. Appl. Math. 2014 1 - 7, 2014. https://doi.org/10.1155/2014/487036

Information

Published: 2014
First available in Project Euclid: 2 March 2015

zbMATH: 07131633
Digital Object Identifier: 10.1155/2014/487036

Rights: Copyright © 2014 Hindawi

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