Paper Info
Title
The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method
Abstract
In the modern world, the computation of vague data is a challenging job. Different theories are presented to deal with such situations. Amongst them, fuzzy set theory and its extensions produced remarkable results. Samrandache extended the theory to a new horizon with the neutrosophic set (NS), which was further extended to interval neutrosophic set (INS). Neutrosophic cubic set (NCS) is the generalized version of NS and INS. This characteristic makes it an exceptional choice to deal with vague and imprecise data. Aggregation operators are key features of decision-making theory. In recent times several aggregation operators were defined in NCS. The intent of this paper is to generalize these aggregation operators by presenting neutrosophic cubic generalized unified aggregation (NCGUA) and neutrosophic cubic quasi-generalized unified aggregation (NCQGUA) operators. The accuracy and precision are a vital tool to minimize the potential threat in decision making. Generally, in decision making methods, alternatives and criteria are considered to evaluate the better outcome. However, sometimes the decision making environment has more components to express the problem completely. These components are named as the state of nature corresponding to each criterion. This complex frame of work is dealt with by presenting the multi-expert decision-making method (MEDMM).
Year
DOI
Venue
2020
10.3390/sym12040496
SYMMETRY-BASEL
Keywords
DocType
Volume
neutrosophic cubic set (NCS),neutrosophic cubic generalized unified aggregation (NCGUA),neutrosophic cubic quasi-generalized unified aggregation (NCQGUA),multi-expert decision-making method (MEDMM)
Journal
12
Issue
Citations 
PageRank 
4
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Majid Khan117419.68
Muhammad Gulistan200.34
Mumtaz Ali300.34
Wathek Chammam443.09