Analysis of Social Networks by Using Pythagorean Cubic Fuzzy Einstein Weighted Geometric Aggregation Operators

Author:

Tehreem 1ORCID,Hussain Amjad1,Lee Jung Rye2ORCID,Ali Khan Muhammad Sajjad3,Shin Dong Yun4

Affiliation:

1. Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan

2. Department of Data Science, Daejin University, Kyunggi 11159, Republic of Korea

3. Institute of Numerical Sciences Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, Pakistan

4. Department of Mathematics, University of Seoul, Seoul 02504, Republic of Korea

Abstract

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.

Publisher

Hindawi Limited

Subject

General Mathematics

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