Cubic Spherical Neutrosophic Geometric Weighted Bonferroni Mean Operator for Selecting a Machine using MCDM Techniques

Abstract

Neutrosophic cubic fuzzy sets (NCFSs) involve interval-valued and single-valued neutrosophic sets and are used to describe uncertainty or fuzziness more efficiently. The aggregation of neutrosopic cubic fuzzy information is crucial and necessary in a decision-making theory. To get a better solution to decision-making problems under a neutrosophic cubic fuzzy environment. The main objective of this study propose the Cubic Spherical Neutrosophic Geometric Bonferroni Mean Operator (CSNGBM) and the Cubic Spherical Neutrosophic Geometric Weighted Bonferroni Mean Operator (CSNGWBM) to find the best alternatives. In this study considers the 15 alternatives D₁ to D₅ and criteria ζ₁ to ζ₅ and to make the decision matrix deep interviews and collected opinions from three experts are:1) Industry Professionals 2) production and sales 3) technical advisers. Finally, the outcome of the results to find the greatest similarity value are taken to be the best alternatives by using neutrosophic cubic FMCDM.