Optimal airport selection utilizing power Muirhead mean based group decision model with 2-tuple linguistic q-rung orthopair fuzzy information

• Published in: International journal of machine learning and cybernetics Vol. 15; no. 2; pp. 303 - 340
• Main Authors: Naz, Sumera, Akram, Muhammad, Shafiq, Aqsa, Akhtar, Kiran
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024
• Subjects: Artificial Intelligence; Complex Systems; Computational Intelligence; Control; Engineering; Mechatronics; Original Article; Pattern Recognition; Robotics; Systems Biology; ROF weighted power Muirhead mean operator; ROF weighted dual power Muirhead mean operator; ROF dual power Muirhead mean operator; MAGDM; 2TL; Optimal airport of Pakistan; ROFS; ROF power Muirhead mean operator
• ISSN: 1868-8071; 1868-808X
• DOI: 10.1007/s13042-023-01911-9

The choice of an optimal airport for local businesses for any traveling purpose due to the complexity of the access to the global market could be considered a group decision-making problem. To cope with this type of problem, the goal of this research is to introduce the power Muirhead mean operators into the environment of a 2-tuple linguistic q -rung orthopair fuzzy set (2TL q -ROFS). This paper proposes four novel aggregation operators: the 2TL q -ROF power Muirhead mean (2TL q -ROFPMM) operator, the 2TL q -ROF dual power Muirhead mean (2TL q -ROFDPMM) operator, the 2TL q -ROF weighted power Muirhead mean (2TL q -ROFWPMM) operator, and the 2TL q -ROF weighted dual power Muirhead mean (2TL q -ROFWDPMM) operator. Then, two new frameworks are constructed by employing the 2TL q -ROFWPMM and the 2TL q -ROFWDPMM aggregation operators to address challenges involving multi-attribute group decision-making. However, the decision-making process is complicated due to the ambiguity over the outcomes of airport choice. The constructed frameworks are being used to solve the problem of choosing the optimal airport in Pakistan for resolving the complexity of the access to the global market in local businesses. To demonstrate the superiority of our approach, parameter analysis with parameters q and ð is carried out. In addition, we compare our formulated approach with different aggregation operators in the literature to prove its effectiveness and efficiency. Finally, some research study conclusions are drawn, limitations are given, and future directions are revealed.