Generalized Intuitionistic Fuzzy Entropy-Based Approach for Solving Multi-attribute Decision-Making Problems with Unknown Attribute Weights

被引：43
|
作者：
Garg, Harish [1 ]
机构：
[1] Thapar Univ Patiala, Sch Math, Patiala 147004, Punjab, India
来源：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES | 2019年 / 89卷 / 01期
关键词：
Multi-attribute decision making; Attribute weight; Entropy function; IVIFSs; OPERATORS;
D O I：
10.1007/s40010-017-0395-0
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A new strategy for solving multi-attribute decision-making problem has been presented by using different entropies and unknown attribute weights, where preferences related to the attributes are in the form of interval-valued intuitionistic fuzzy sets. Some generalized properties have also been proved for justification. An illustrative example has been provided to demonstrate and effectiveness the approach along with the sensitivity analysis on the decision-maker parameter.
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页码：129 / 139
页数：11
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