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Fuzzy goal programming for multiobjective transportation problems

  • M. Zangiabadi
  • H. R. Maleki
Article

Abstract

Several fuzzy approaches can be considered for solving multiobjective transportation problem. This paper presents a fuzzy goal programming approach to determine an optimal compromise solution for the multiobjective transportation problem. We assume that each objective function has a fuzzy goal. Also we assign a special type of nonlinear (hyperbolic) membership function to each objective function to describe each fuzzy goal. The approach focuses on minimizing the negative deviation variables from 1 to obtain a compromise solution of the multiobjective transportation problem. We show that the proposed method and the fuzzy programming method are equivalent. In addition, the proposed approach can be applied to solve other multiobjective mathematical programming problems. A numerical example is given to illustrate the efficiency of the proposed approach.

AMS Mathematics Subject Classification

90C05 90C70 

Key words and phrases

Multiobjective decision making goal programming transportation problem membership function fuzzy programming 

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Copyright information

© Korean Society for Computational & Applied Mathematics and Korean SIGCAM 2007

Authors and Affiliations

  1. 1.Faculty of Mathematics and Computer SciencesKerman UniversityKermanIran
  2. 2.Department of Basic SciencesShiraz University of TechnologyShirazIran

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