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