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Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment.

Authors :
Tian, Zhang-peng
Wang, Jing
Zhang, Hong-yu
Wang, Jian-qiang
Source :
International Journal of Machine Learning & Cybernetics; Mar2018, Vol. 9 Issue 3, p523-539, 17p
Publication Year :
2018

Abstract

A simplified neutrosophic uncertain linguistic set that integrates quantitative and qualitative evaluation can serve as an extension of both an uncertain linguistic variable and a simplified neutrosophic set. It can describe the real preferences of decision-makers and reflect their uncertainty, incompleteness and inconsistency. This paper focuses on multi-criteria decision-making (MCDM) problems in which the criteria occupy different priority levels and the criteria values take the form of simplified neutrosophic uncertain linguistic elements. Having reviewed the relevant literatures, this paper develops some generalized simplified neutrosophic uncertain linguistic prioritized weighted aggregation operators and applies them to solve MCDM problems. Finally, an illustrative example is given, and two cases of comparison analysis are conducted with other representative methods to demonstrate the effectiveness and feasibility of the developed approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18688071
Volume :
9
Issue :
3
Database :
Complementary Index
Journal :
International Journal of Machine Learning & Cybernetics
Publication Type :
Academic Journal
Accession number :
128071904
Full Text :
https://doi.org/10.1007/s13042-016-0552-9