2017
DOI: 10.1615/int.j.uncertaintyquantification.2017020446
|View full text |Cite
|
Sign up to set email alerts
|

Applications of Neutrosophic Cubic Sets in Multi-Criteria Decision-Making

Abstract: In this paper, we investigate the concepts of the weighted average operator (A W ) and weighted geometric operator (G W ) on neutrosophic cubic sets (NCSs) to aggregate the neutrosophic cubic information. Moreover, on the basis of A W & G W and certain functions, including score, certainty and accuracy, we develop our algorithm to multiple-criteria decision making in NCSs, in which the assessment standards of another possibility on the characteristics yield the technique of neutrosophic cubic numbers (NCNs) to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
47
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 43 publications
(47 citation statements)
references
References 20 publications
0
47
0
Order By: Relevance
“…Algorithms 2018, 11,29 Definition 3 ([26]). Let Z be a non-empty set, then a cubic set C in Z is constructed as the follow…”
Section: ) Where Is An Interval Neutrosophic Setmentioning
confidence: 99%
See 3 more Smart Citations
“…Algorithms 2018, 11,29 Definition 3 ([26]). Let Z be a non-empty set, then a cubic set C in Z is constructed as the follow…”
Section: ) Where Is An Interval Neutrosophic Setmentioning
confidence: 99%
“…In order to demonstrate the application of the proposed MADM method, in this section, we provide two illustrative examples with neutrosophic cubic information adapted from [29]. Then, we apply the NCDWAA operator or the NCDWGA operator to solve the MADM problem with NCN information.…”
Section: Illustrative Examplesmentioning
confidence: 99%
See 2 more Smart Citations
“…In the same study, Pramanik et al [50] also employed the information entropy scheme to calculate the unknown weights of the attributes, and developed a new extended TOPSIS strategy for MADM under the NCS environment. Zhan et al [51] proposed a new algorithm for multi-criteria decision making (MCDM) in an NCS environment based on a weighted average operator and a weighted geometric operator. Ye [52] established the concept of a linguistic neutrosophic cubic number (LNCN).…”
Section: Introductionmentioning
confidence: 99%