Abstract
Goal Programming (GP) is perhaps the most widely used approach in the field of multicriteria decision making The major advantage of the GP model is its great flexibility which enables the decision maker to easily incorporate numerous variations of constraints and goals. Romero provides an unifying basis for GP and multiple objective programming approaches, Extended Lexicographic Goal Programming (ELGP) which is a rather general GP structure encompassing Archimedean and MINMAX (Tchebychev) GP variants as particular cases. In this work we propose the use of this general primary estructure (ELGP) for the resolution of fuzzy multiobjective programming problems.
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References
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Arenas, M., Bilbao, A., Pérez-Gladish, B., Rodríguez-Uría, M.V. (2004). Fuzzy Extended Lexicographic Goal Programming. In: Soft Methodology and Random Information Systems. Advances in Soft Computing, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44465-7_67
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DOI: https://doi.org/10.1007/978-3-540-44465-7_67
Publisher Name: Springer, Berlin, Heidelberg
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