Optimization Of Multi-Objective Transportation Problem Using Fuzzy Programming Approach

Abstract

This study proposes a way for transforming a fuzzy multi-objective transportation problem (FMOTP) into crisp multi-objective transportation problem. The Zimmermann technique has been used to fine the solution for crisp multi-objective transportation problem (CMOTP). This study contrasts outcomes of employing hyperbolic and pentagonal membership functions with those of utilising exponential membership functions. The study demonstrates how real-world issues with inaccurate parameters can be modelled using fuzzy numbers. The study shows how to solve transport problems with competing aims by turning fuzzy problems into deterministic ones.