Systematic review of decision making algorithms in extended neutrosophic sets

Khan, Mohsin and Son, Le Hoang and Ali, Mumtaz and Chau, Hoang Thi Minh and Na, Nguyen Thi Nhu and Smarandache, Florentin (2018) Systematic review of decision making algorithms in extended neutrosophic sets. Symmetry, 10 (8 - Article 314).

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Abstract

The Neutrosophic set (NS) has grasped concentration by its ability for handling indeterminate, uncertain, incomplete, and inconsistent information encountered in daily life. Recently, there have been various extensions of the NS, such as single valued neutrosophic sets (SVNSs), Interval neutrosophic sets (INSs), bipolar neutrosophic sets (BNSs), Refined Neutrosophic Sets (RNSs), and triangular fuzzy number neutrosophic set (TFNNs). This paper contains an extended overview of the concept of NS as well as several instances and extensions of this model that have been introduced in the last decade, and have had a significant impact in literature. Theoretical and mathematical properties of NS and their counterparts are discussed in this paper as well. Neutrosophic-set-driven decision making algorithms are also overviewed in detail.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 11 Feb 2019 00:25
Last Modified: 11 Feb 2019 05:12
Uncontrolled Keywords: multi attribute algorithms; decision making; neutrosophic set; literature review
Fields of Research : 01 Mathematical Sciences > 0102 Applied Mathematics > 010201 Approximation Theory and Asymptotic Methods
Identification Number or DOI: 10.3390/sym10080314
URI: http://eprints.usq.edu.au/id/eprint/35454

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