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Information 2017, 8(4), 125; doi:10.3390/info8040125

TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making

1
School of Science, Southwest Petroleum University, Chengdu 610500, China
2
School of Business, Sichuan Normal University, Chengdu 610101, China
*
Authors to whom correspondence should be addressed.
Received: 20 September 2017 / Revised: 9 October 2017 / Accepted: 11 October 2017 / Published: 16 October 2017
(This article belongs to the Special Issue Neutrosophic Information Theory and Applications)
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Abstract

Recently, the TODIM has been used to solve multiple attribute decision making (MADM) problems. The single-valued neutrosophic sets (SVNSs) are useful tools to depict the uncertainty of the MADM. In this paper, we will extend the TODIM method to the MADM with the single-valued neutrosophic numbers (SVNNs). Firstly, the definition, comparison, and distance of SVNNs are briefly presented, and the steps of the classical TODIM method for MADM problems are introduced. Then, the extended classical TODIM method is proposed to deal with MADM problems with the SVNNs, and its significant characteristic is that it can fully consider the decision makers’ bounded rationality which is a real action in decision making. Furthermore, we extend the proposed model to interval neutrosophic sets (INSs). Finally, a numerical example is proposed. View Full-Text
Keywords: multiple attribute decision making (MADM); single-valued neutrosophic numbers; interval neutrosophic numbers; TODIM method; prospect theory multiple attribute decision making (MADM); single-valued neutrosophic numbers; interval neutrosophic numbers; TODIM method; prospect theory
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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MDPI and ACS Style

Xu, D.-S.; Wei, C.; Wei, G.-W. TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making. Information 2017, 8, 125.

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