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Algorytm doboru metod wielokryterialnych do zadanej sytuacji decyzyjnej

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Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
Each decision situation is described by a set of distinguishing characterises a factor which classifies it into a category of decision problems. Many times the chosen category determines the choice of the most suitable MCDA method to apply for supporting a decision maker. The following paper is dealing with directions developing in the literature on choosing the MCDA method best suited to solve a given decision problem. In the study, two sources of factors which influence the choice of the method were identified: a subject of the decision and a characteristic of dependencies in the problem, description. When considering factors originating from the subject of the decision, the main focus was on case studies which support applying a particular method to a given problem. Dependencies between parameters describing a problem were analysed from the impact that the existence of various data sources has on them. The selected group of factors was consecutively generalised and its impact on the result of the decision support using a collection of methods pointed out. The performed analysis constitutes a source of the strategy for choosing one method from the considered group of methods.
Rocznik
Strony
223--234
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
  • Politechnika Szczecińska, Wydział Informatyki
Bibliografia
  • [1] Roy B. Wielokryterialne wspomaganie decyzji. Wydawnictwa Naukowo-Techniczne, Warszawa, 1990.
  • [2] Mousseau V., Slowinski R. Inferring an ELECTRE TRI Model from Assignment Examples. Journal of Global Optimization, 12 (1998). s. 157-174.
  • [3] Guitouni A.. Martel J.-M. Tentative guidelines to help choosing an appropriate MCDA method. European Journal of Operational Research, 109 (1998), s. 501-521.
  • [4] RoyB. The outranking approach and the foundations of ELECTRE methods. Theory and Decision. 31 (1991), s. 49-73.
  • [5] Figueira J., Vincent, M., Roy B. Electre Methods. W: Figueira J., Greco S., Ehrgott M. (red.), Multiple Criteria Decision Analysts: State of the Art Surveys, Springer 2005, s. 133-162.
  • [6] Brans J.-P., Mareschal B. Promethee Methods. W: Figueira J., Greco S., Ehrgott M. (red.). Multiple Criteria Decision Analysis: State of the Art Surveys, Springer 2005, s. 163-186.
  • [7] Bana e Costa C. A., De Corte J.-M., Vansnick J.-C. On the Mathematical Foundation of MACBETH. W: Figueira J., Greco S., Ehrgott M. (red.), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer 2005.
  • [8] Saaty T. L. The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making. W: Figueira J., Greco S., Ehrgott M. (red.), Multiple Criteria Decision Analysis: State of the. Art Surveys. Springer 2005.
  • [9] Siskos Y.. Grigoroudis E., Matsatsinis N. F. UTA Methods. W: Figueira J., Greco S.. Ehrgott M. (red.), Multiple Criteria Decision Analysis: Slate of the Art Surveys, Springer 2005.
  • [10] Dyer J. S. MAUT - Multiattribute Utility Theory. W: Figueira J., Greco S., Ehrgott M. (red.), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer 2005.
  • [11l Lipiec-Zajchowska M. Wspomaganie procesów decyzyjnych: Badania operacyjne. C. H. Beck, Warszawa, 2003.
  • [12] Zopounidis C, Doumpos M. A Multicriteria Decision Aid Methodology for Sorting Decision Problems: The Case of Financial Distress. Computational Economics, 14 (1999). s. 197-218.
  • [13] Bouyssou D., Marchant T., Pirlot M., Tsoukirs A., Vincke P. Aggregation Procedures. Evaluation and Decision Models with Multiple Criteria, 2006, s. 169-235.
  • [14] Saaty T. L. How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48 (1990), s. 9-26.
  • [15] Spronk J. Steuer R., Zopounidis C. Multicriteria Decision Aid/Analysis in Finance. W: Figueira J., Greco S., Ehrgott M. (red.), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer 2005, s. 799-848.
  • [16] Fortemps P., Greco S., Słowiński R. Multicriteria Choice and Ranking Using Decision Rules Induced from Rough Approximation of Graded Preference Relations. Rough Sets and Current Trends in Computing, 2004, s. 510-522.
  • [17] Moffett A., Sarkar S. Incorporating multiple criteria into the design of conservation area networks: a minireview with recommendations. Diversity and Distributions. 12 (2006), s. 125-137.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS3-0010-0069
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