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Tytuł artykułu

The Using the Multi-criteria Optimization to Support the Selection of Joint Decision within Comptetitive Environment

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EN
Abstrakty
EN
The paper presents the method of facilitating joint decision making in a competitive environment. We deal with a joint decision when the group of people with different preferences are to make one single decision. The joint decision selection process is modelled with the use of multi-criteria optimization task. It is solved with the use of reference point method. This method is an interactive method in which every person specifies its requirements in the form of a reference point, expressing the desired values for its evaluation function. On the basis of the provided reference point, a scalar achievement function is built. Maximization of this function generates a solution of the multi-criteria task. This solution is presented to every person for acceptance or as a basis for the modification of the reference point. The paper gives an example of applying the proposed decision making while competing by three persons of different preferences.
Twórcy
autor
  • Faculty of Applied Informatics and Mathematics, Chair of Econometrics and Computer Science, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776 Warsaw
Bibliografia
  • [1] Bronisz P., Krus L., A Mathematical Basis for System Supporting Multicriteria Bargaining. Archiwum Automatyki i Telemechaniki, vol. 4, Warsaw 1987.
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  • [11] Ogryczak W. , Multicriteria Optimization and Decisions under Risk. Control and Cybernetics, vol. 31, no. 4, 2002, 975–1003.
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  • [13] Rahwan T., Jennings N. R., “An algorithm for distributing coalitional value calculations among cooperative agents”, Artificial Intelligence (AIJ), vol. 171, no. 8–9, 2007, 535–567. DOI:10.1016/j.artint.2007.03.002.
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  • [18] Wierzbicki A., Granat J., Optimization the decision support. Typescript in Polish, Warsaw 2003.
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Bibliografia
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