A Study of Neutrosophic Cubic Hesitant Fuzzy Hybrid Geometric Aggregation Operators and its Application to Multi Expert Decision Making System

被引：0
|
作者：
Ur Rehman, Ateeq [1 ]
Gulistan, Muhammad [1 ]
Khan, Zahid [1 ]
Al-Duais, Fuad S. [2 ,3 ]
机构：
[1] Department of Mathematics and Statistics, Hazara University, Mansehra,21130, Pakistan
[2] Department of Mathematics, College of Science and Humanities in Al-Aflaj, Prince Sattam bin Abdulaziz University, Al-Aflaj,11942, Saudi Arabia
[3] Administration Department, Administrative Science College, Thamar University, Thamar, Yemen
来源：
Neutrosophic Sets and Systems | 2022年 / 50卷
关键词：
Aggregation operator - Decision-making systems - Hesitant fuzzy sets - ITS applications - Multi expert decision making - Multi-expert decision making - Neutrosophic cubic fuzzy hesitant set (neutrosophic cubic hesitant fuzzy set) - Neutrosophic cubic hesitant fuzzy einstein geometric operator - Neutrosophic cubic hesitant fuzzy einstein hybrid geometric operator. - Neutrosophic cubic hesitant fuzzy weighted geometric operator;
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学科分类号：
摘要：
Hesitancy is an imperative part of belief system. In order to counter the hesitancy in neutrosophic cubic set (NCS), the notion of neutrosophic cubic hesitant fuzzy set (NCHFS) is presented. NCHFS couple NCS with hesitant fuzzy set (HFS). Operational laws in NCHFS are developed with examples. To meet the challenges of decision making problems, neutrosophic cubic hesitant fuzzy geometric (NCHFG) aggregation operators, neutrosophic cubic hesitant fuzzy Einstein geometric (NCHFEG) aggregation operators, neutrosophic cubic hesitant fuzzy hybrid geometric (NCHFHEG) aggregation operators are developed in the current study. At the end a multi expert decision making (MEDM) process is proposed and furnished upon numerical data of a company as applications. © 2022
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页码：83 / 110
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