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Multiple attribute decision making using improved intuitionistic fuzzy weighted geometric operators of intuitionistic fuzzy values.

Authors :
Zou, Xin-Yao
Chen, Shyi-Ming
Fan, Kang-Yun
Source :
Information Sciences. Oct2020, Vol. 535, p242-253. 12p.
Publication Year :
2020

Abstract

In this paper, we develop a novel multiple attribute decision making (MADM) method using the improved intuitionistic fuzzy weighted geometric (IIFWG) operator of intuitionistic fuzzy values (IFVs) proposed in this paper. First, we develop the IIFWG operator of IFVs to conquer the weak points of the existing operators of IFVs, where they have the drawbacks that their aggregated values are indeterminate in some situations. Based on the proposed IIFWG operator of IFVs, we present a MADM method to overcome the weak points of the existing MADM methods, which have the shortcomings that they obtain unreasonable ranking orders (ROs) of alternatives or they cannot discriminate the ROs of alternatives in some circumstances. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00200255
Volume :
535
Database :
Academic Search Index
Journal :
Information Sciences
Publication Type :
Periodical
Accession number :
143825242
Full Text :
https://doi.org/10.1016/j.ins.2020.05.011