Computationally Simple and Efficient Method for Solving Real-Life Mixed Intuitionistic Fuzzy 3D Assignment Problems

Abstract

This article addresses the three-dimensional mixed intuitionistic fuzzy assignment problems (3D-MIFAPs). In this article, firstly, the author formulates an assignment problem (AP) and assumes the parameters are in uncertainty with hesitation. Secondly, based on the nature of the parameter, the author defines various types of solid assignment problem (SAP) in uncertain environments. Thirdly, to solve 3D-MIFAP, the PSK method for finding an optimal solution of fully intuitionistic fuzzy assignment problem (FIFAP) is extended by the author. Fourthly, the author presents the proofs of the proposed theorems and corollary. Fifthly, the proposed approach is illustrated with three numerical examples, and the optimal objective value of 3D-MIFAP is obtained in the form of intuitionistic fuzzy number, and the solution is checked with MATLAB, and their coding are also given by the author. Sixthly, the author presents the comparison results and their graphical representation, merits and demerits of the proposed and existing methods, and finally, a conclusion and future research directions.