Abstract
In decision making, the suitability of decision options may be specified by utility values for each option or by preference values for each pair of options. This paper introduces a new approach to construct a matrix of pairwise preference values from a vector of utility values, which is called the U2P transformation. The U2P transformation satisfies reciprocity, triangle condition, weak transitivity, restricted max–min transitivity, and restricted max–max transitivity, but it violates (unrestricted) max–min transitivity, (unrestricted) max–max transitivity, multiplicative transitivity, and additive transitivity. Inversion of the U2P transformation yields the P2U transformation which can be used to construct a vector of utility values from a matrix of pairwise preference values. Numerical experiments with movie ratings illustrate the practical use of the U2P and P2U transformations.
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References
Bell, R.M., Koren, Y.: Lessons from the Netflix prize challenge. ACM SIGKDD Explor. Newsl. 9(2), 75–79 (2007)
Bellman, R., Zadeh, L.: Decision making in a fuzzy environment. Manage. Sci. 17(4), 141–164 (1970)
Dubois, D., Prade, H.: Fuzzy Sets and Systems. Academic Press, London (1980)
Fishburn, P.C.: Utility Theory. Wiley Online Library, New York (1988)
Fodor, J.C., Roubens, M.R.: Fuzzy Preference Modelling and Multicriteria Decision Support, vol. 14. Springer, New York (1994)
Herrera-Viedma, E., Alonso, S., Chiclana, F., Herrera, F.: A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans. Fuzzy Syst. 15(5), 863–877 (2007)
Herrera-Viedma, E., Herrera, F., Chiclana, F., Luque, M.: Some issues on consistency of fuzzy preference relations. Eur. J. Oper. Res. 154(1), 98–109 (2004)
Jeon, T., Cho, J., Lee, S., Baek, G., Kim, S.: A movie rating prediction system of user propensity analysis based on collaborative filtering and fuzzy system. In: IEEE International Conference on Fuzzy Systems, Jeju, Korea, pp. 507–511 (2009)
Luce, R.D., Suppes, P.: Preferences utility and subject probability. In: Luce, R.D., Bush, R.R., Eugene, G.E. (eds.) Handbook of Mathematical Psychology, vol. III, pp. 249–410. Wiley, New York (1963)
Ölçer, A.I., Odabaşi, A.Y.: A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem. Eur. J. Oper. Res. 166(1), 93–114 (2005)
Orlovsky, S.A.: Decision-making with a fuzzy preference relation. Fuzzy Sets Syst. 1(3), 155–167 (1978)
Ribeiro, R.A.: Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy Sets Syst. 78(2), 155–181 (1996)
Setnes, M., Kaymak, U.: Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing. IEEE Trans. Fuzzy Syst. 9(1), 153–163 (2001)
Sousa, J.M., Palm, R.H., Silva, C.A., Runkler, T.A.: Optimizing logistic processes using a fuzzy decision making approach. IEEE Trans. Syst. Man Cybern. A 33(2), 245–256 (2003)
Tanino, T.: Fuzzy preference orderings in group decision making. Fuzzy Sets Syst. 12(2), 117–131 (1984)
Tanino, T.: Fuzzy preference relations in group decision making. In: Non-conventional Preference Relations in Decision Making, pp. 54–71. Springer, New York (1988)
Türkşen, İ.B., Bilgiç, T.: Interval valued strict preference with Zadeh triples. Fuzzy Sets Syst. 78(2), 183–195 (1996)
Zimmermann, H.J.: Fuzzy Set Theory and Its Applications. Kluwer Academic Publishers, Boston (1985)
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Runkler, T.A. (2016). Constructing Preference Relations from Utilities and Vice Versa. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-40581-0_44
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DOI: https://doi.org/10.1007/978-3-319-40581-0_44
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