On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection

Abstract

The present communication introduces a new discriminant measure coined as R -norm q -rung picture fuzzy discriminant information measure which is more generalized in nature and has the capability to handle more flexibility inherited in the inexact information. The notion of q -rung picture fuzzy set ( q -RPFS) has an integrated advantage of picture fuzzy set and q -rung orthopair fuzzy set with flexibility of q th level relations. The proposed parametric measure is then applied in the conventional “technique for order preference by similarity to the ideal solution (TOPSIS) method” for solving a green supplier selection problem. The numerical illustration to exhibit the proposed methodology for the green supplier selection problem has been presented in an empirical form to establish the consistency of the model. Also, the advantageous features of the proposed scheme in the setup of impreciseness have been discussed.