2020
DOI: 10.3390/sym12040496
|View full text |Cite
|
Sign up to set email alerts
|

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 d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 10 publications
(3 citation statements)
references
References 32 publications
(31 reference statements)
0
3
0
Order By: Relevance
“…Qiyas et al (Qiyas et al 2022a ) utilised fuzzy credibility Dombi aggregation operators to clarify revised TOPSIS method. Khan et al (Khan et al 2020b ) utilised and generalised neutrosophic cubic aggregation operators in decision-making process.…”
Section: Introductionmentioning
confidence: 99%
“…Qiyas et al (Qiyas et al 2022a ) utilised fuzzy credibility Dombi aggregation operators to clarify revised TOPSIS method. Khan et al (Khan et al 2020b ) utilised and generalised neutrosophic cubic aggregation operators in decision-making process.…”
Section: Introductionmentioning
confidence: 99%
“…Gou et al [11] give the idea of a double hierarchy linguist term set (DHLTS). Decision-making is an art, and many researchers have worked on this aspect, see [12][13][14][15][16][17][18][19][20]. Di¤erent methods are introduced to solve the problems of (MADM), for example, TODIM, TOPSIS, CODAS, and VIKOR [21][22][23][24], etc.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, NCS is more comprehensive and representative in practical applications, mainly focusing on two aspects of the related measures [23][24][25][26] and aggregation operators. [27][28][29][30][31][32][33] Considering further improvements of the NCS, [34][35][36][37] Ye 31 defined an algorithm and proposed some weighted aggregation operators for the NCS. Banerjee et al 37 introduced a gray relation analysis (GRA) method in the NCS environment.…”
Section: Introductionmentioning
confidence: 99%