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

Authors

  • Ateeq Ur Rehman Department of Mathematics and Statistics, Hazara University, Mansehra 21130 Pakistan
  • Muhammad Gulistan Department of Mathematics and Statistics, Hazara University, Mansehra 21130 Pakistan
  • Zahid Khan Department of Mathematics, College of Science and Humanities in Al-Aflaj, Prince Sattam bin Abdulaziz University, Al-Aflaj 11942, Saudi Arabia
  • Fuad S. Al-Duais Administration Department, Administrative Science College, Thamar University, Thamar, Yemen

Keywords:

Neutrosophic Cubic Fuzzy Hesitant Set (NCHFS), Neutrosophic Cubic Hesitant Fuzzy Weighted geometric (NCHFWG) operator, Neutrosophic Cubic Hesitant Fuzzy Einstein Geometric (NCHFEG) operator, Neutrosophic Cubic Hesitant Fuzzy Einstein Hybrid Geometric (NCHFEHG) Operator. multi expert decision making (MEDM)

Abstract

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.

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Published

2022-06-01

Issue

Vol. 50 (2022): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Rehman, A. U. ., Gulistan, M. ., Khan, Z. ., & Al-Duais, F. S. . (2022). A Study of Neutrosophic Cubic Hesitant Fuzzy Hybrid Geometric Aggregation Operators and its Application to Multi Expert Decision Making System. Neutrosophic Sets and Systems, 50, 83-110. https://fs.unm.edu/nss8/index.php/111/article/view/2512