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The discrete multicriteria decision methods. A rational point of view applied to decision making

Author

Listed:
  • Rodrigo Palacios Saldaña

    (Universidad de Burgos)

  • Joaquín Pacheco Bonrostro

    (Universidad de Burgos)

Abstract

This paper implements multi­criteria decisión methods (MCDM) into real problems. In order to do so, the details of the basics of multi­criteria decision and the different methods and their application in energy planning will be stated. The multi­criteria decision, in its multiple meanings, is a multidisciplinary set of tolos with great potential, highly used for the analysis of complex problems. These methods have been developed from different fields of research and different mathematical bases, making it difficult to start in this field. The application of MCDM in energy planning is remarkable and can be extrapolated to other fields that have evolved from using simple methods such as cost-benefit have been required for their analysis to require tools able to collect a multi­criteria reality. In energy planning, it has been necessary to encompass environmental, social and technical aspects especially after the arrival of mainly renewable new source of energy increasing the relevance of GHG emissions and dependence generated to the countries of which the primary energy is imported

Suggested Citation

  • Rodrigo Palacios Saldaña & Joaquín Pacheco Bonrostro, 2016. "The discrete multicriteria decision methods. A rational point of view applied to decision making," The Anahuac Journal, Business and Economics School. Anahuac University (Mexico)., vol. 16(1), pages 47-78, June.
  • Handle: RePEc:amj:journl:v:16:y:2016:i:1:p:47-78
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    File URL: http://revistas.anahuac.mx/the_anahuac_journal/article/view/132/81
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    More about this item

    Keywords

    MCDM; Multi­Criteria; Decision­Making; Energy; Planning Models; Energy Planning.;
    All these keywords.

    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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