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Development of p,q- quasirung orthopair fuzzy hamacher aggregation operators and its application in decision-making problems.
Ahmad, Touqeer; Rahim, Muhammad; Yang, Jie; Alharbi, Rabab; Abd El-Wahed Khalifa, Hamiden.
Affiliation
  • Ahmad T; School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China.
  • Rahim M; Deparament of Mathematics, Hazara University, Mansehra 21300, PKP, Pakistan.
  • Yang J; School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China.
  • Alharbi R; Department of Mathematics, College of Science and Arts, Qassim University, Ar Rass 51452, Saudi Arabia.
  • Abd El-Wahed Khalifa H; Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951, Saudi Arabia.
Heliyon ; 10(3): e24726, 2024 Feb 15.
Article in En | MEDLINE | ID: mdl-38318055
ABSTRACT
The concept of p,q- quasirung orthopair fuzzy (p,q- QOF) sets is an advanced extension of q- rung orthopair fuzzy sets (q- ROFSs). This paper introduces the adaptation of Hamacher t-norm and t-conorm to the p,q- QOF environment. A series of Hamacher aggregation operators (AOs) and their associated properties are presented. This study extends its application to multi-criteria group decision-making (MCGDM) for practical problem-solving, illustrated through the analysis of mobile payment platforms. The influence of the aggregation operator parameters, denoted as p and q, on the outcomes of decisions is effectively showcased. Moreover, a comparative analysis is carried out to validate the credibility and authenticity of the proposed model. Finally, the advantages and limitations of the proposed model are outlined.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Heliyon Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Heliyon Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido