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Satisficing MCDM Approaches: Goal Programming

  • Enrique Ballestero
  • Carlos Romero
Chapter

Abstract

MOP and CP works efficiently for moderate size problems defined within a well structured environment. However for large size problems defined within complex contexts, this kind of approach has very little interest and it becomes necessary to resort to more flexible decisional approaches. Goal Programming (GP) emerges within this pragmatic line.

Keywords

Goal Programming Priority Level Multiple Criterion Decision Goal Programming Model Deviational Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Enrique Ballestero
    • 1
  • Carlos Romero
    • 1
  1. 1.Technical University of MadridSpain

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