Power Muirhead Mean Operators for Interval-Valued Linear Diophantine Fuzzy Sets and Their Application in Decision-Making Strategies

Tahir Mahmood, Izatmand Haleemzai, Zeeshan Ali, Dragan Pamucar and Dragan Marinkovic
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Tahir Mahmood: Department of Mathematics & Statistics, International Islamic University, Islamabad 44000, Pakistan
Izatmand Haleemzai: Department of Mathematics & Statistics, International Islamic University, Islamabad 44000, Pakistan
Zeeshan Ali: Department of Mathematics & Statistics, International Islamic University, Islamabad 44000, Pakistan
Dragan Pamucar: Department of Logistics, Military Academy, The University of Defense in Belgrade, 11000 Belgrade, Serbia
Dragan Marinkovic: Department of Structural Analysis, Faculty of Mechanical Engineering and Transport Systems, Technische Universität Berlin, 10623 Berlin, Germany

Mathematics, 2021, vol. 10, issue 1, 1-25

Abstract: It is quite beneficial for every company to have a strong decision-making technique at their disposal. Experts and managers involved in decision-making strategies would particularly benefit from such a technique in order to have a crucial impact on the strategy of their company. This paper considers the interval-valued linear Diophantine fuzzy (IV-LDF) sets and uses their algebraic laws. Furthermore, by using the Muirhead mean (MM) operator and IV-LDF data, the IV-LDF power MM (IV-LDFPMM) and the IV-LDF weighted power MM (IV-LDFWPMM) operators are developed, and some special properties and results demonstrated. The decision-making technique relies on objective data that can be observed. Based on the multi-attribute decision-making (MADM) technique, which is the beneficial part of the decision-making strategy, examples are given to illustrate the development. To demonstrate the advantages of the developed tools, a comparative analysis and geometrical interpretations are also provided.

Keywords: interval-valued linear Diophantine fuzzy sets; power Muirhead mean operators; decision-making techniques (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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