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

Author

Listed:
  • Tehreem
  • Amjad Hussain
  • Jung Rye Lee
  • Muhammad Sajjad Ali Khan
  • Dong Yun Shin
  • naeem jan

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.

Suggested Citation

  • Tehreem & Amjad Hussain & Jung Rye Lee & Muhammad Sajjad Ali Khan & Dong Yun Shin & naeem jan, 2021. "Analysis of Social Networks by Using Pythagorean Cubic Fuzzy Einstein Weighted Geometric Aggregation Operators," Journal of Mathematics, Hindawi, vol. 2021, pages 1-18, April.
    • Handle: RePEc:hin:jjmath:5516869
    DOI: 10.1155/2021/5516869
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