Multiobjective Transportation Problem Using Fuzzy Decision Variable ThroughMulti-Choice Programming

Authors

  • DR.RAJESHWARA REDDY
  • T. Lakshmi

Keywords:

Fuzzy Variable, Goal Programming, Multiobjective Decision-making, Multiple-Choice Programming, Transportation Problem

Abstract

Using fuzzy decision variables, this work examines the examination of the Multi-Objective Transportation Problem (MOTP). When solving a Transportation Problem, the decision variable is usually considered as a real variable. There are a lot of multi-choice fuzzy numbers in this work, but the decision variable in each node is chosen from a collection of those values. Multiobjective Fuzzy Transportation Problems are created when numerous goals are included in a transportation issue with a fuzzy decision variable (MOFTP). We provide a novel mathematical model of MOFTP that incorporates fuzzy goals for each of the objective functions. After that, the multi-choice goal programming methodology is used to define the model's solution method. For further proof of this article's value, a numerical example is provided.

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Published

2020-08-30

How to Cite

REDDY, D. ., & Lakshmi, . T. (2020). Multiobjective Transportation Problem Using Fuzzy Decision Variable ThroughMulti-Choice Programming. The Journal of Contemporary Issues in Business and Government, 26(2), 2218–2233. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/494

Issue

Vol. 26 No. 2 (2020): The journal of contemporary issues in business and government

Section

Articles

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