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Published in:
2018 | OriginalPaper | Chapter
MOLP Approach for Solving Transportation Problems with Intuitionistic Fuzzy Costs
Authors : Ali Ebrahimnejad, José L. Verdegay
Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications
Publisher: Springer International Publishing
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Abstract
Many researchers have focused on a Transportation Problem (TP) in uncertain environment because of its importance to various applications. This paper is concerned with the solution procedure of a TP in which transportation costs are represented in terms of intuitionistic triangular fuzzy numbers and supplies and demands are real numbers. We first formulate the intuitionistic fuzzy TP (IFTP) and then propose a new solution technique to solve the problem. Based on the proposed approach, the IFTP is converted into a Multi Objective Linear Programming (MOLP) problem with five objective functions. Then, a lexicographic approach is used to obtain the efficient solution of the resulting MOLP problem. The optimization process confirms that the optimum intuitionistic fuzzy transportation cost preserves the form of an intuitionistic triangular fuzzy number. A simple numerical example is included to illustrate of the proposed technique. The obtained results confirm the reliability and applicability of the proposed approach.