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Representation of Preferences by Quasi-Linear Means

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Abstract

Starting by quasilinear means, we propose and analyze functionals that allow to represent the preferences of the decision maker in a more general setting; the preference order in the set of the alternatives depends on the way the functional has been generated. The functionals of this kind enjoy classical properties as independence and dominance principle. Anyway we stress that to make use of a single functional is not sufficient to describe paradoxical situations that arise for istance in the Kahneman and Tversky experiment.

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References

  1. J. Aczél, Lectures on Functional Equations and their Applications (Academic Press, New York, 1966).

    Google Scholar 

  2. J. Aczél and T.L. Saaty, Procedures for synthesizing ratio judgements, Journal of Mathematical Psychology 27 (1983) 93-102.

    Google Scholar 

  3. M. Allais, Le comportement de l'homme rationnel devant le risque: critique des postulats et axiomes de l'école américaine, Econometrica 21 (1953) 503-546.

    Google Scholar 

  4. K.J. Arrow, Aspects of the Theory of Risk-Bearing (Academic Book, 1965).

  5. L. Basile and L. D'Apuzzo, Ordering for classes of aggregation operators, International Journal of Uncertainty, Fuzziness and Knowledge Based Systems 4(2) (1996) 145-156.

    Google Scholar 

  6. D.S. Bridges and G.B. Mehta, Representation of Preference Ordering (Springer, Berlin, 1995).

    Google Scholar 

  7. S.H. Chew, A generalization of the quasilinear mean with application to the measurement of income inequality and decision theory resolving the Allais paradox, Econometrica 51 (1983) 1065-1092.

    Google Scholar 

  8. G. Choquet, Theory of capacity, Annales de l'Institut Fourier 5 (1953-1954) 131-292.

  9. L. D'Apuzzo, M. Squillante and A.G.S. Ventre, Extending aggregation operators for Multicriteria Decision Making, in: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory, eds. M. Fedrizzi and J. Kacpryk (Kluwer, Dordrecht, 1990).

    Google Scholar 

  10. B. de Finetti, Sul concetto di media, G.I.I.A., II, 369-396. Grenoble (5) (1931) 131-292.

  11. P.C. Fishburn, Nonlinear Preference and Utility Theory (Wheatsheaf Books, Brighton, 1988).

    Google Scholar 

  12. P. Gänderfors and N.E. Sahlin, eds., Decision, Probability and Utility (Cambridge University Press, 1997).

  13. B. Hansson, Risk aversion as a problem of conjoint measurement, in: Decision, Probability and Utility, eds. P. Ganderfors and N.E. Sahlin (Cambridge University Press, 1997) pp. 136-158.

  14. G.H. Hardy, J.E. Littlewood and G. Polya, Inequalities (Cambridge University Press, Cambridge, 1952).

    Google Scholar 

  15. S. Holzer, Sulla trattazione assiomatica delle medie, in: Atti del sedicesimo convegno A.M.A.S.E.S, Treviso, 10-13 Septembre 1992.

  16. D. Kahneman and A. Tversky, Prospect theory: an analysis of decision under risk, Econometrica 47 (1979) 263-291.

    Google Scholar 

  17. E. Karni and D. Schmeidler, Utility theory with uncertainty, in: Handbook of Mathematical Economics, Vol. 4, eds. W. Hildenbrand and H. Sonnenschein (Elsevier, Amsterdam, 1991) pp. 1763-1831.

    Google Scholar 

  18. A. Kolmogorov, Sur la notion de la moyenne, Rendiconti Accademia dei Lincei 12(6) (1930) 388-391.

    Google Scholar 

  19. M.J. Machina, Expected utility analysis without the independence axiom, Econometrica 50 (1982) 277-323.

    Google Scholar 

  20. M.J. Machina, Choice under uncertainty: problems solved and unsolved, Economic Perspectives 1(1) (1987) 121-154.

    Google Scholar 

  21. M.J. Machina, Dynamic consistency and non-expected utility models of choice under uncertainty, Journal of Economic Literature 37 (1989) 1622-1668.

    Google Scholar 

  22. B. Munier, Two stage rationality under risk: experimental, results and perspectives, Rivista di Matematica per le Scienze Economiche e Sociali 21(1-2) (1998) 3-23.

    Google Scholar 

  23. J.W. Pratt, Risk aversion in the small and in the large, Econometrica 32 (1964) 122-136.

    Google Scholar 

  24. D. Schmeidler, Integral representation without additivity, Proceedings of the American Mathematical Society 97 (1986) 255-261.

    Google Scholar 

  25. D. Schmeidler, Subjective probability and expected utility without additivity, Econometrica 57 (1989) 571-587.

    Google Scholar 

  26. U. Schmidt, A measurement of the certainty effect, Journal of Mathematical Psychology 42 (1998) 32-47.

    Google Scholar 

  27. H.J. Skala, Concerning ordered weighted averanging aggregation operators, Statistical Papers 32 (1991) 35-44.

    Google Scholar 

  28. A.G.S. Ventre, Decomposable expected utility, Rivista di Matematica della Università Parma(5) 5 (1996) 1-11.

    Google Scholar 

  29. M. Weber and C. Camerer, Recent developments in modelling preferences under risk, OR Spectrum 9 (1987) 129-151.

    Google Scholar 

  30. M. Yaari, The dual theory of choice under risk, Econometrica 55 (1987) 95-115.

    Google Scholar 

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D'Apuzzo, L., Squillante, M. Representation of Preferences by Quasi-Linear Means. Annals of Mathematics and Artificial Intelligence 35, 177–195 (2002). https://doi.org/10.1023/A:1014587317771

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