Mehmet Ahlatçioglu

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This paper deals with the Multiobjective Linear Transportation Problem that has fuzzy cost coefficients. In the solution procedure, many objectives may conflict with each other; therefore decision-making process becomes complicated. And also due to the fuzziness in the costs, this problem has a nonlinear structure. In this paper, fuzziness in the objective(More)
The data of real life problems generally cannot be expressed strictly. An efficient way of handling this situation is expressing the data as intervals. Thus this paper focus on the Multi-objective Interval Transportation Problem (MITP) whose parameters i.e. cost coefficients of the objective functions, supply and demand quantities are expressed as(More)
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