Stability analysis of tree structured decision functions

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@Article{ekart:2002:EJOP,
  author =       "Anik\'o Ek\'art and S. Z. N\'emeth",
  title =        "Stability analysis of tree structured decision
                 functions",
  journal =      "European Journal of Operational Research",
  year =         "2005",
  volume =       "160",
  number =       "3",
  pages =        "676--695",
  month =        "1 " # feb,
  keywords =     "genetic algorithms, genetic programming, Decision
                 support systems, Evolutionary computation, Stability
                 analysis, Decision functions",
  ISSN =         "0377-2217",
  URL =          "http://www.sciencedirect.com/science/article/B6VCT-4B6CR54-4/2/8de1437b694f9e2060da541ad1b175be",
  DOI =          "doi:10.1016/j.ejor.2003.10.007",
  abstract =     "In multicriteria decision problems many values must be
                 assigned, such as the importance of the different
                 criteria and the values of the alternatives with
                 respect to subjective criteria. Since these assignments
                 are approximate, it is very important to analyze the
                 sensitivity of results when small modifications of the
                 assignments are made. When solving a multicriteria
                 decision problem, it is desirable to choose a decision
                 function that leads to a solution as stable as
                 possible. We propose here a method based on genetic
                 programming that produces better decision functions
                 than the commonly used ones. The theoretical
                 expectations are validated by case studies.",
}

Genetic Programming entries for Aniko Ekart Sandor Zoltan Nemeth

Citations