A METHOD TO MULTI-ATTRIBUTE GROUP DECISION MAKING TECHNIQUE BASED ON T-SPHERICAL FUZZY INFORMATION USING BONFERRONI MEAN OPERATORS

The objective of this paper is to propose a novel group decision -making method for handling multi -attribute decision problems. In the present work, the uncertainties present in the data are handled with the help of the T -spherical fuzzy set information, while the interrelationships between the various attribute features are aggregated by using the idea of the Bonferroni mean operator. Based on this information, we stated the weighted averaging and geometric Bonferroni mean operators to aggregate the information and investigate their properties. Later on, based on these operators, we introduced a multi -attribute group decision -making algorithm for solving the problems. The applicability of the approach is demonstrated through a numerical example and a comparison of their results with the existing studies.