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Symmetry 2017, 9(11), 271; doi:10.3390/sym9110271

A New Multi-Attribute Decision-Making Method Based on m-Polar Fuzzy Soft Rough Sets

1
Department of Mathematics, University of the Punjab, New Campus, Lahore 54590, Pakistan
2
Department of Mathematics, Faculty of Science, AL Faisaliah, Campus, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 19 October 2017 / Revised: 1 November 2017 / Accepted: 1 November 2017 / Published: 10 November 2017
(This article belongs to the Special Issue Fuzzy Techniques for Decision Making)
View Full-Text   |   Download PDF [279 KB, uploaded 13 November 2017]

Abstract

We introduce notions of soft rough m-polar fuzzy sets and m-polar fuzzy soft rough sets as novel hybrid models for soft computing, and investigate some of their fundamental properties. We discuss the relationship between m-polar fuzzy soft rough approximation operators and crisp soft rough approximation operators. We also present applications of m-polar fuzzy soft rough sets to decision-making. View Full-Text
Keywords: soft rough m-polar fuzzy sets; m-polar fuzzy soft rough sets; m-polar fuzzy soft rough approximation operators; decision-making soft rough m-polar fuzzy sets; m-polar fuzzy soft rough sets; m-polar fuzzy soft rough approximation operators; decision-making
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Akram, M.; Ali, G.; Alshehri, N.O. A New Multi-Attribute Decision-Making Method Based on m-Polar Fuzzy Soft Rough Sets. Symmetry 2017, 9, 271.

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