Fuzzy Transportation Problems: A General Analysis

  • M. Delgado
  • J. L. Verdegay
  • M. A. Vila
Part of the Theory and Decision Library book series (TDLB, volume 4)

Abstract

The transportation problems have a recognized importance. Their range of applications can be enlarged when some fuzziness in its formulation is accepted. This paper is devoted to the study of a resolution method for fuzzy transportation problems. In order that this may be done, in accordance with the decomposition theorem for fuzzy sets, a formulation as the transshipment problems cut by cut is done. Feasibility or un-feasibility of the former fuzzy problem is analyzed on these cuts by means of four functions. These are straightforwardly defined from the membership functions of the fuzzy parameters involved in the starting formulation. In order to find a fuzzy solution using an auxiliary problem, a parametric type algorithm is proposed. This one is shown to be more efficient than others existing in the current literature because of the lower dimensionality of the mentioned auxiliary problem.

Keywords

fuzzy transportation problem transportation problem fuzzy mathematical programming 

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References

  1. Chanas, S., W. Koiodziejczyk, and A. Machaj (1984). A fuzzy approach to the transportation problem. Fuzzy Sets and Syst. 13, 211–221.MATHCrossRefGoogle Scholar
  2. Delgado, M., and J.L. Verdegay (1984). Resolution of a fuzzy transportation problem with generalized triangular membership functions (in Spanish). Actas del XIV Congreso Nacional de Estadistica, Investigation Operativa e Informatica, Granada (Spain), 748–758.Google Scholar
  3. Dubois, D., and H. Prade (1980). Fuzzy Sets and Systems. Theory and Applications. Academic Press, New York.MATHGoogle Scholar
  4. Gal, T. (1979). Postoptimal Analysis, Parametric Programming and Related Topics. Mc Graw Hill, New York.Google Scholar
  5. Hamacher, H., H. Leberling and H.J. Zimmermann (1978). Sensitivity analysis in fuzzy linear programming. Fuzzy Sets and Syst. 1, 269–281.MathSciNetMATHCrossRefGoogle Scholar
  6. Negoita, C.V., and D. Ralescu (1975). Applications of Fuzzy Sets to Systems Analysis. Birkhauser Verlag, Basel.MATHGoogle Scholar
  7. Oheigeartaigh, M. (1982). A fuzzy transportation algorithm. Fuzzy Sets and Syst. 8, 235–243.MathSciNetMATHCrossRefGoogle Scholar
  8. Prade, H. (1980). Operations research with fuzzy data. In P.P. Wang and S.K. Chang (eds.), Fuzzy Sets. Theory and Applications to Policy Analysis and Information Systems. Plenum Press, New York, 155–170.Google Scholar
  9. Simonnard, M. (1973). Linear Programming, vol. 2. Extensions. Dunod, Paris.Google Scholar
  10. Verdegay, J.L. (1983). Transportation problem with fuzzy parameters (in Spanish). Revista de la Real Academia de Ciencias Matematicas, Fisico Quimicas y Naturales de Granada, II, 47–56.Google Scholar
  11. Verdegay, J.L. (1982). Fuzzy mathematical programming. In M.M. Gupta and E. Sanchez (eds.), Fuzzy Information and Decision Processes. North-Holland, Amsterdam, 231–237.Google Scholar
  12. Zimmermann, H.-J. (1976). Description and optimization of fuzzy systems, Int. J. Gen. Syst. 2, 209–215.MATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1987

Authors and Affiliations

  • M. Delgado
    • 1
  • J. L. Verdegay
    • 1
  • M. A. Vila
    • 1
  1. 1.Departamento de Estadistica Matematica, Facultad de CienciasUniversidad de GranadaGranadaSpain

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