Abstract
This paper presents a multicriteria decision making method, the Hierarchical Compromise Programming (HCP), which combines a hierarchical structure for the modelization of a problem with the minimization of the distance to an ideal point as a resolution procedure. The proposed method allows the application of a model based on the minimization of a distance function, with tangible and intangible aspects.
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This research has been partially supported by the project SISDEMA: UN SISTEMA DECISIONAL AMBIENTAL (ref.: PMA-2196 CONSID-DGA)
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Escobar, M.T., Moreno-Jiménez, J.M. The Hierarchical compromise programming. Top 5, 253–281 (1997). https://doi.org/10.1007/BF02568553
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DOI: https://doi.org/10.1007/BF02568553