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

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.

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)