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Multi-Stage Technique 'Paks' For Multiple Criteria Decision Aiding

Author

Listed:
  • ALEXEY B. PETROVSKY

    (Institute for Systems Analysis, Russian Academy of Sciences, Prospect 60 Let Octyabrya, 9, Moscow 117312, Russia)

  • GREGORY V. ROYZENSON

    (Institute for Systems Analysis, Russian Academy of Sciences, Prospect 60 Let Octyabrya, 9, Moscow 117312, Russia)

Abstract

This paper describes a new multi-stage technique PAKS (the abbreviation of Russian words: Consequent Aggregation of Classified Situations) for sorting multi-attribute objects by a group. Based on decision maker preferences, this technique provides a hierarchical aggregation of a large number of initial attributes into a smaller number of criteria, thus reducing the dimension of the attribute space progressively, using various tools of verbal decision analysis. The consequent aggregation of attributes allows generating manifold lists of composite criteria with numerical and/or verbal scales, finding and analyzing the most preferable solution of a decision problem. The technique was applied to evaluate efficiency of R&D projects, which were assessed by several experts on many qualitative criteria and subsidized by the Russian Foundation for Basic Research.

Suggested Citation

  • Alexey B. Petrovsky & Gregory V. Royzenson, 2013. "Multi-Stage Technique 'Paks' For Multiple Criteria Decision Aiding," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(05), pages 1055-1071.
    • Handle: RePEc:wsi:ijitdm:v:12:y:2013:i:05:n:s0219622013400087
    DOI: 10.1142/S0219622013400087
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