A New Perspective for Solving Generalized Trapezoidal Intuitionistic Fuzzy Transportation Problems using Centroid of Centroids

Abstract

In today’s daily life situations TP we frequently face the situation of unreliability in
addition to unwillingness due to various unmanageable components. To handle with unreliability
and unwillingness multiple researchers have recommended the intuitionistic fuzzy (IF)
delineation for material. This paper proposes the approach used by generalized triangular
intuitionistic fuzzy number to solve these transport problem, i.e. capacity and demand are
considered as real numbers and charge of transport from origin to destination is considered as
generalized triangular intuitionistic fuzzy numbers as charge of product per unit. The generalized
triangular intuitionistic fuzzy numbers ranking function is used on the basis of IFN'S centroid of
centroids. Through the traditional optimization process, we generate primary basic feasible
solution and foremost solution. The numerical illustration shows efficacy of technique being
suggested. A fresh technique is implemented to seek foremost solution using ranking function of
a fuzzy TP of generalized triangular intuitionistic fuzzy number. Without finding a IBFS, this
approach explicitly provides optimal solution for GTrIFTP. Finally, for ranking function we
apply a proposed GTrIFTP method illustrated Numerical example.