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Tytuł artykułu

On non-Pareto efficiency

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We investigate assessment functions, i.e., functions that aggregate numerical attribute values into single numbers. All assessment functions in the current use share the same limitation: they do not explicitly account for the attribute values balance. Here, we present assessment functions that provide for that. However, those functions are at odds with the well-established paradigm of Pareto efficiency. As an example, the relevance of assessment functions to rankings is discussed.
Rocznik
Strony
81--88
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
  • Warsaw School of Information Technology, Warsaw, Poland
Bibliografia
  • [1] Chernev, A. Extremeness aversion and attribute-balance effects in choice. Journal of Consumer Research 31, 2 (2004), 249–263.
  • [2] Chernev, A. Context effects without a context: Attribute balance as a reason for choice. Journal of Consumer Research 32, 2 (2005), 213–223.
  • [3] Ehrgott, M. Multicriteria Optimization. Springer, 2005.
  • [4] Fishburn, P. C. Utility theory and decision theory. In Utility and Probability (London, 1990), J. Eatwell, M. Milgate, and P. Newman, Eds., Palgrave Macmillan, pp. 303–312.
  • [5] Kaliszewski, I. Quantitative Pareto Analysis by Cone Separation Technique. Kluwer Academic Publishers, 1994.
  • [6] Kaliszewski, I. Multiple criteria decision making: selecting variants along compromise lines. Techniki Komputerowe (Computer Aided Methodologies) 1 (2006), 49–66.
  • [7] Kaliszewski, I., and Michalowski, W. Efficient solutions and bounds on trade-offs. Journal of Optimization Theory and Applications 94, 2 (1997), 381–394.
  • [8] Kaliszewski, I., and Michalowski, W. Searching for psychologically stable solutions of multiple criteria decision problems. European Journal of Operational Research 118, 3 (1999), 549–562.
  • [9] Kaliszewski, I., Miroforidis, J., and Podkopaev, D. Interactive multiple criteria decision making based on preference driven evolutionary multiobjective optimization with controllable accuracy. European Journal of Operational Research 216, 1 (2012), 188-199.
  • [10] Kaliszewski, I., Miroforidis, J., and Podkopaev, D. Multiple Criteria Decision Making by Multiobjective Optimization -A Toolbox. Springer, 2016.
  • [11] Miettinen, K. Nonlinear Multiobjective Optimization. Springer, 1999.
  • [12] Miller, E. An Assessment of CES and Cobb-Douglas Production Functions Working Paper No. 19992, Congressional Budget Office, 2008.
  • [13] Moscati, I. The History and Methodology of Expected Utility. Series: Elements in Decision Theory and Philosophy. Cambridge University Press, 2023.
  • [14] Ray, S. C., Chambers, R. G., and Kumbhakar, S. C., Handbook of Production Economics. Springer, 2023.
  • [15] Simonson, I. Choice based on reasons: The case of attraction and compromise effects. Journal of Consumer Research 16, 2 (1989), 158–174.
  • [16] Simonson, I., and Tverski, A. Choice in context: Tradeoff contrast and extremeness aversion. Journal of Marketing Research 29, 3 (1992), 281–295.
  • [17] Steuer, R. E. Multiple Criteria Optimization: Theory, Computation and Application. John Wiley & Sons, 1986.
  • [18] Truett, D., and Roberts, B. Classical production functions, technical optimality, and scale adjustments of the firm. The American Economic Review 63, 5 (1973), 975–982.
  • [19] Wierzbicki, A. P. Reference point approaches. In Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications (New York, NY, 1999), T. Gal, T. J. Stewart, and T. Hanne, Eds., vol. 21 of International Series in Operations Research & Management Science, Springer, pp. 237–275.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b27fdbdc-e3f8-43de-87c5-21d09fee4605
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