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Reference distribution based decision support platform

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Języki publikacji
EN
Abstrakty
EN
There many decision problems where numerous partial achievement functions are considered impartially which makes the distribution of achievements more important than the assignment of several achievements to the specific criteria. Such models are generally related to the evaluation and optimization of various systems which serve many users where quality of service for every individual user defines the criteria. This applies to various technical systems, like to telecommunication ones among others, as well as to social systems. An example arises in location theory, where the clients of a system are entitled to equal treatment according to some community regulations. This paper presents an implementation of decision support framework for such problems. This platform is designed for multiple criteria problems analyzed with the reference distribution approach. Reference distribution approach is an extension of the reference point method.
Rocznik
Tom
Strony
5--14
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
autor
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw, Poland, kbareja@elka.pw.edu.pl
Bibliografia
  • [1] J. Rawls, The Theory of Justice. Cambridge: Harvard University Press, 1971.
  • [2] R. Denda, A. Banchs, and W. Effelsberg,“The fairness challenge in computer networks”, in First COST 263 International Workshop, Quality of Future Internet Services, QofIS 2000, Berlin, Germany, 2000, J. Crowcroft, J. Roberts, and M. I. Smirnov, Eds. Berlin: Springer, 2000, vol. 1922, pp. 208–220.
  • [3] M. M. Kostreva and W. Ogryczak, “Linear optimization with multiple equitable criteria”, RAIRO Oper. Res., vol. 33, pp. 275–297, 1999.
  • [4] W. Ogryczak and T. Śliwiński, “On equitable approaches to resource allocation problems: the conditional minimax solution”, J. Telecommun. Inform. Technol., no. 3, pp. 40–48, 2002.
  • [5] W. Ogryczak and M. Zawadzki, “Conditional median: a parametric solution concept for location problems”, Ann. Opns Res., vol. 110, pp. 167–181, 2002.
  • [6] A. P. Wierzbicki, M. Makowski, and J. Wessels, Model Based Decision Support Methodology with Environmental Applications. Dordrecht: Kluwer, 2000.
  • [7] A. P. Wierzbicki, “A mathematical basis for satisficing decision making”, Math. Model., vol. 3, pp. 391–405, 1982.
  • [8] A. Lewandowski and A. P. Wierzbicki, Aspiration Based Decision Support Systems – Theory, Software and Applications. Berlin: Springer, 1989.
  • [9] S. H. Owen and M. S. Daskin, “Strategic facility location: a review”, Eur. J. Opnl Res., vol. 111, pp. 423–447, 1998.
  • [10] A. Makhorin, “GNU linear programming kit”, http://www.gnu.org/software/glpk/
  • [11] Sun Microsystems Inc., http://java.sun.com/products/javawebstart/
  • [12] M. M. Kostreva, W. Ogryczak, and A. Wierzbicki, “Equitable aggregations and multiple criteria analysis”, Eur. J. Opnl Res., vol. 158, pp. 362–367, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0001-0033
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