Novel Interval Valued T-Spherical Fuzzy Mclaurin Symmetric Mean Operators and Their Applications in Multi-Attribute Group Decision Making Problems
Keywords:Aggregation operators, Interval-valued T-spherical fuzzy numbers, McLaurin symmetric mean operator, Multi-attribute group decision-making techniques
Educational institutes play a significant role to build up a nation and developing society. Education is an important factor that can help a man to judge his destiny, and shape the coming future. This article aims to extend the concepts of interval-valued T-spherical fuzzy (IVTSF) set (IVTSFS) based on Maclaurin symmetric mean (MSM) operators. The main concentration of this manuscript is to study the interrelationship among any number of IVTSF numbers (IVTSFNs) by the use of Maclaurin symmetric mean (MSM) operators. We explore and develop IVTSF Maclaurin symmetric mean (IVTSFMSM) operator, IVTSF weighted MSM (IVTSFWMSM) operator, IVTSF dual MSM (IVTSFDMSM) operator, IVTSF weighted dual MSM (IVTSFWDMSM) operator. By using these examined operators, some special cases of the discovered operators are also established and their properties are examined. In addition, a procedure for handling multi-attribute group decision-making (MAGDM) techniques based on MSM operators in the IVTSF setting. A demonstrative example to check the applicability of the MSM operators of IVTSFSs is presented which established the selection of applicants. To show the supremacy of the newly established MSM operators, a comprehensive comparative study is designed numerically.
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