TOPSIS Method for Neutrosophic Hesitant Fuzzy Multi-Attribute Decision Making

被引：0
|
作者：
Giri, Bibhas C. [1 ]
Molla, Mahatab Uddin [1 ]
Biswas, Pranab [1 ]
机构：
[1] Jadavpur Univ, Dept Math, Kolkata 700032, W Bengal, India
来源：
INFORMATICA | 2020年 / 31卷 / 01期
关键词：
hesitant fuzzy set; neutrosophic set; single valued neutrosophic hesitant fuzzy set; interval neutrosophic hesitant fuzzy set; multi-attribute decision making; TOPSIS; CORRELATION-COEFFICIENTS; MULTIMOORA; EXTENSION; SETS; STRATEGY; VIKOR;
D O I：
10.15388/20-INFOR392
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a very common and useful method for solving multi-criteria decision making problems in certain and uncertain environments. Single valued neutrosophic hesitant fuzzy set (SVNHFS) and interval neutrosophic hesitant fuzzy set (INHFS) are developed on the integration of neutrosophic set and hesitant fuzzy set. In this paper, we extend TOPSIS method for multi-attribute decision making based on single valued neutrosophic hesitant fuzzy set and interval neutrosophic hesitant fuzzy set. Furthermore, we assume that the attribute weights are known, incompletely known or completely unknown. We establish two optimization models for SVNHFS and INHFS with the help of maximum deviation method. Finally, we provide two numerical examples to validate the proposed approach.
引用
收藏
页码：35 / 63
页数：29
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