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An extension of the ELECTRE approach with multi-valued neutrosophic information.

Authors :
Peng, Juan-juan
Wang, Jian-qiang
Wu, Xiao-hui
Source :
Neural Computing & Applications; Dec2017 Supplement 1, Vol. 28, p1011-1022, 12p
Publication Year :
2017

Abstract

In this paper, an extension Elimination and Choice Translating Reality (ELECTRE) method is introduced to handle multi-valued neutrosophic multi-criteria decision-making (MCDM) problems. First of all, some outranking relations for multi-valued neutrosophic numbers (MVNNs), which are based on traditional ELECTRE methods, are defined, and several properties are analyzed. In the next place, an outranking method to deal with MCDM problems similar to ELECTRE III, where weights and data are in the form of MVNNs, is developed. At last, an example is provided to demonstrate the proposed approach and testify its validity and feasibility. This study is supported by the comparison analysis with other existing methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
28
Database :
Complementary Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
126403699
Full Text :
https://doi.org/10.1007/s00521-016-2411-8