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Multiobjective Transportation Problem Using Fuzzy Decision Variable Through Multi-Choice Programming

Multiobjective Transportation Problem Using Fuzzy Decision Variable Through Multi-Choice Programming
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Author(s): Gurupada Maity (Vidyasagar University, India)and Sankar Kumar Roy (Vidyasagar University, India)
Copyright: 2018
Pages: 17
Source title: Intelligent Transportation and Planning: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5210-9.ch038

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Abstract

This paper analyzes the study of Multiobjective Transportation Problem (MOTP) under the consideration of fuzzy decision variable. Usually, the decision variable in a Transportation Problem is taken as real variable. But, in this paper, the decision variable in each node is selected from a set of multi-choice fuzzy numbers. Inclusion of multiple objectives into transportation problem with fuzzy decision variable makes it a Multiobjective Fuzzy Transportation Problem (MOFTP). In this paper, a new formulation of mathematical model of MOFTP with fuzzy goal of each objective function is enlisted. Thereafter the solution technique of the formulated model is described through multi-choice goal programming approach. Finally, a numerical example is presented to show the feasibility and usefulness of this article.

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