Analysis of social networks by using Pythagorean cubic fuzzy Einstein weighted geometric aggregation operators (Q2036017)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Analysis of social networks by using Pythagorean cubic fuzzy Einstein weighted geometric aggregation operators |
scientific article; zbMATH DE number 7363787
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Analysis of social networks by using Pythagorean cubic fuzzy Einstein weighted geometric aggregation operators |
scientific article; zbMATH DE number 7363787 |
Statements
Analysis of social networks by using Pythagorean cubic fuzzy Einstein weighted geometric aggregation operators (English)
0 references
28 June 2021
0 references
Summary: Pythagorean cubic set (PCFS) is the combination of the Pythagorean fuzzy set (PFS) and interval-valued Pythagorean fuzzy set (IVPFS). PCFS handle more uncertainties than PFS and IVPFS and thus are more extensive in their applications. The objective of this paper is under the PCFS to establish some novel operational laws and their corresponding Einstein weighted geometric aggregation operators. We describe some novel Pythagorean cubic fuzzy Einstein weighted geometric (PCFEWG) operators to handle multiple attribute group decision-making problems. The desirable relationship and the characteristics of the proposed operator are discussed in detail. Finally, a descriptive case is given to describe the practicality and the feasibility of the methodology established.
0 references
0 references