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Multiple criteria ranking decision support

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We propose a methodology to support decisions on how to construct rankings of objects which account for decision makers' preferences. As it is not always so that objects to be ranked are known upfront, the methodology is focused on constructing ranking algorithms rather than rankings themselves. The methodology builds on Multiple Criteria Decision Making paradigms. To operationalize it we provide a consistent interactive framework which allows the decision maker to express his preferences with respect to objects directly, with respect to the criteria selection process (multiple criteria model building), and with respect to attributes resulting from the selected criteria. The methodology is illustrated by a numerical example of municipality rankings.
Rocznik
Strony
1161--1187
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
Bibliografia
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  • Chmielewski, M. (2008) Extrapolations of Partial Orders in the Problem of Object Ranking. PhD Thesis (in Polish), Systems Research Institute, Warsaw.
  • Chmielewski, M., Kaliszewski, I. (2008) Multiple Criteria Ranking Decision Support. Systems Research Institute Report, RB/2/2008, Warsaw.
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  • Greco, S., Mousseau, V., Słowinski, R. (2007) Ordinal Regression Revisited: Multiple Criteria Ranking Using a Set of Additive Value Functions. European Journal of Operational Research, 181, 1030-1044.
  • Jacquet-Lagrèze, E., Siskos, Y. (1982) Assessing a Set of Additive Utility Functions for Multicriteria Decision Making: The UTA Method. European Journal of Operational Research, 10, 151-164.
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  • Kaliszewski, I. (2006) Soft Computing for Complex Multiple Criteria Decision Making. Springer.
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  • Roy, B. (1990) The Outranking Approach and the Foundations of ELECTRE Methods. In: C.A. Bana e Costa, ed., Readings in Multiple Criteria Decision Aid. Springer Verlag, Heidelberg, 115-184.
  • Saaty, T.L. (1980) The Analytic Hierarchy Process. McGraw-Hill, New York.
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  • Skulimowski, A.M.J. (1996) Decision Support Systems Based on Reference Sets. AGH Publishers, Kraków.
  • Wierzbicki,A.P. (1999) Reference Point Approaches. In: T.Gal, Th. Stewart, Th. Hanne, eds., Multicriteria Decision Making - Advances in MCDM: Models, Algorithms, Theory and Applications. Kluwer Academic Publishers, 9.1-9.39.
  • Zangwill, W.I., Kantor, P.B. (1988) Toward a Theory of Continuous Improvement and the Learning Curve. Management Science, 44, 910-920.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATC-0009-0030
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