The Generalized Neutrosophic Cubic Aggregation Operators and Their Application to Multi-Expert Decision-Making Method

被引:10
|
作者
Khan, Majid [1 ]
Gulistan, Muhammad [1 ]
Ali, Mumtaz [2 ]
Chammam, Wathek [3 ]
机构
[1] Hazara Univ, Dept Math & Stat, Mansehra 21310, Pakistan
[2] Deakin Univ, Deakin SWU Joint Res Ctr Big Data, Sch Informat Technol, Melbourne, Vic 3125, Australia
[3] Majmaah Univ, Coll Sci Al Zulfi, Dept Math, POB 66, Majmaah 11952, Saudi Arabia
来源
SYMMETRY-BASEL | 2020年 / 12卷 / 04期
关键词
neutrosophic cubic set (NCS); neutrosophic cubic generalized unified aggregation (NCGUA); neutrosophic cubic quasi-generalized unified aggregation (NCQGUA); multi-expert decision-making method (MEDMM);
D O I
10.3390/sym12040496
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
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).
引用
收藏
页数:15
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