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On Solving Some Types of Multiple Attribute Decision-Making Problems

Author

Listed:
  • Vaduva, Ion

    () (University of Bucharest, Faculty of Mathematics and Computer Science)

Abstract

The paper considers various MADM problems with different attributes, including stochastic, fuzzy, numerical (cardinal) attributes. Some known MADM problems are presented and procedures to transform different problems into cardinal ones are proposed. For analysing stochastic and fuzzy MADM problems, informational measures as entropy and informational energy are used. Finally, a computer dedicated package is presented and an application is mentioned.

Suggested Citation

  • Vaduva, Ion, 2012. "On Solving Some Types of Multiple Attribute Decision-Making Problems," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 41-61, March.
  • Handle: RePEc:rjr:romjef:v::y:2012:i:1:p:41-61
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    References listed on IDEAS

    as
    1. Swenson, PA & McCahon, CS, 1991. "A MADM justification of a budget reduction decision," Omega, Elsevier, vol. 19(6), pages 539-548.
    2. L. Randall Wray & Stephanie Bell, 2004. "Introduction," Chapters,in: Credit and State Theories of Money, chapter 1 Edward Elgar Publishing.
    3. Philippe Robert-Demontrond & R. Ringoot, 2004. "Introduction," Post-Print halshs-00081823, HAL.
    4. Bernardo, John J & Blin, Jean-Marie, 1977. " A Programming Model of Consumer Choice among Multi-Attributed Brands," Journal of Consumer Research, Oxford University Press, vol. 4(2), pages 111-118, Se.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    MADM problems; SAW; TOPSIS; fuzzy criteria; entropy; informational energy; survey and pool data;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

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