2023
DOI: 10.1016/j.heliyon.2023.e18100
|View full text |Cite
|
Sign up to set email alerts
|

Complex spherical fuzzy Aczel Alsina aggregation operators and their application in assessment of electric cars

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
10

Relationship

3
7

Authors

Journals

citations
Cited by 26 publications
(7 citation statements)
references
References 52 publications
0
5
0
Order By: Relevance
“…The proposed techniques will also be applied to neural networks, clustering, feature selection, and risk management. In addition, some advanced decision-making techniques of complex spherical fuzzy Aczel Alsina aggregation operators 61 will also be studied within the context of the strategies presented in this article.…”
Section: Discussionmentioning
confidence: 99%
“…The proposed techniques will also be applied to neural networks, clustering, feature selection, and risk management. In addition, some advanced decision-making techniques of complex spherical fuzzy Aczel Alsina aggregation operators 61 will also be studied within the context of the strategies presented in this article.…”
Section: Discussionmentioning
confidence: 99%
“…In recent research, Ullah et al [ 35 ] proposed a multi-attribute decision-making technique that employs complicated T-spherical fuzzy Frank prioritised aggregation operations to improve decision-making processes. Hussain et al [ 36 ] designed complicated spherical fuzzy Aczel Alsina aggregation operators and used them to evaluate electric automobiles. These publications contribute significantly to the design and implementation of fuzzy aggregation operators in decision science.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of AA operation for hesitant q-ROFS, defined in Refs. [ 41 , 42 ], discussed the AA laws for complex spherical FS. The concept of Bonfirroni AOs for data aggregation was discussed by Ref.…”
Section: Introductionmentioning
confidence: 99%