On Banking Site Selection Problem Utilizing Novel Picture Fuzzy Discriminant Measure

The literature on picture fuzzy information comprehensively deals with various applications where the process of decision science plays an important role and helps us with information available which is inaccurate and lacking in some parts. In this manuscript, we present a new parametrized discriminant measures of information for the picture fuzzy environment and suitably applied in solving some kind of conventional decision-making problem of selection of banking site. To be specific, we have utilized these information measure and considered the problem of banking site selection under the technique of minimum discriminant measure in the delta-parametrized form. Also, the superiority and effectiveness of the proposed measures are being numerically illustrated along with the scope for future.