A New Approach to the Transportation Problem of the Hexagonal Fuzzy Number

Abstract

The linear programming problem is well-known as one of the most promising mathematical methods for efficient resource allocation. Many real-world problems can be expressed as LPPs. Anyways in occurring each day scenarios; it is arduous to obtain appropriate accurate data for the cost parameter, resulting in a fuzzy environment. The subject of fuzzy transportation has a lot of consideration in the present-day. It assists the decision-maker in arriving at the best answer with appropriate data, which is frequently used in engineering and management science situations. The prevalent goal of the transportation problem is to reduce the amount of transporting production from multiple origins to multiple targets. It is necessary to highlight the issue of balanced and unbalanced transportation. We used the defuzzification method for hexagonal fuzzy numbers and offered novel approaches in this research to help determine an Initial Basic Feasible Solution for balanced and unbalanced transportation problems.