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Discrete Sugeno Integrals and Their Applications

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Scalable Uncertainty Management (SUM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11142))

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Abstract

This paper is an overview of the discrete Sugeno integrals and their applications when the evaluation scale is a totally ordered set. The various expressions of the Sugeno integrals are presented. Some major characterisation results are recalled: results based on characteristic properties and act-based axiomatisation. We discuss the properties of a preference relation modelling by a Sugeno integral. We also present its power expression to represent a dataset and its interpretation with a set of if-then rules.

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References

  1. Dubois, D., Prade, H.: Weighted minimum and maximum operations. Inf. Sci. 39, 205–210 (1986)

    Article  Google Scholar 

  2. Couceiro, M., Marichal, J.-L.: Associative polynomial functions over bounded distributive lattices. Order 28, 1–8 (2011)

    Article  MathSciNet  Google Scholar 

  3. Halas, R., Mesiar, R., Pocs, J., Torra, V.: A note on some algebraic properties of discrete Sugeno integrals. Fuzzy Sets Syst. (2018)

    Google Scholar 

  4. Meziar, R., Mesiarova-Zemankova, A., Ahmad, K.: Level-dependent Sugeno integral. IEEE Trans. Fuzzy Syst. 17, 167–172 (2009)

    Article  Google Scholar 

  5. Klement, E.P., Mesiar, R., Spizzichino, F., Stupnanova, A.: Universal integrals based on copulas. Fuzzy Optim. Decis. Mak. 13, 273–286 (2014)

    Article  MathSciNet  Google Scholar 

  6. Prade, H., Rico, A., Serrurier, M.: Elicitation of sugeno integrals: a version space learning perspective. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS (LNAI), vol. 5722, pp. 392–401. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04125-9_42

    Chapter  Google Scholar 

  7. Prade, H., Rico, A., Serrurier, M., Raufaste, E.: Elicitating sugeno integrals: methodology and a case study. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS (LNAI), vol. 5590, pp. 712–723. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02906-6_61

    Chapter  MATH  Google Scholar 

  8. Dubois, D., Prade, H., Rico, A.: The logical encoding of Sugeno integrals. Fuzzy Sets Syst. 241, 61–75 (2014)

    Article  MathSciNet  Google Scholar 

  9. Bouyssou, D., Marchant, T., Pirlot, M.: A conjoint measurement approach to the discrete Sugeno integral. In: Brams, S.J. (ed.) The Mathematics of Preference, Choice and Order: Essays in Honor of Peter C. Studies in Choice and Welfare, pp. 85–109. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-79128-7_6

    Chapter  MATH  Google Scholar 

  10. Dubois, D., Durrieu, C., Prade, H., Rico, A., Ferro, Y.: Extracting decision rules from qualitative data using sugeno integral: a case-study. In: Destercke, S., Denoeux, T. (eds.) ECSQARU 2015. LNCS (LNAI), vol. 9161, pp. 14–24. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20807-7_2

    Chapter  Google Scholar 

  11. Schmeidler, D.: Cores of exact games. J. Math. Anal. Appl. 40(1), 214–225 (1972)

    Article  MathSciNet  Google Scholar 

  12. Dubois, D., Prade, H., Sabbadin, R.: Qualitative decision theory with Sugeno integrals. In: Grabisch, M. (ed.) Fuzzy Measures and Integrals Theory and Applications, pp. 314–322. Physica Verlag, Heidelberg (2000)

    MATH  Google Scholar 

  13. Dubois, D., Prade, H., Sabbadin, R.: Decision-theoretic foundations of qualitative possibility theory. Eur. J. Oper. Res. 128, 459–478 (2001)

    Article  MathSciNet  Google Scholar 

  14. Grabisch, M., Labreuche, C.: A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid. Ann. Oper. Res. 175, 247–286 (2010)

    Article  MathSciNet  Google Scholar 

  15. Sugeno, M.: Theory of fuzzy integrals and its applications. Ph.D. thesis, Tokyo Institute of Technology (1974)

    Google Scholar 

  16. Sugeno, M.: Fuzzy measures and fuzzy integrals: a survey. In: Gupta, M.M., et al. (eds.) Fuzzy Automata and Decision Processes, pp. 89–102. North-Holland, Amsterdam (1977)

    Google Scholar 

  17. Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. Europ. J. Operat. Res. 89(3), 445–456 (1996)

    Article  MathSciNet  Google Scholar 

  18. Dubois, D., Marichal, J.-L., Prade, H., Roubens, M., Sabbadin, R.: The use of the discrete Sugeno integral in decision making: a survey. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 9, 539–561 (2001)

    MathSciNet  MATH  Google Scholar 

  19. Greco, S., Matarazzo, B., Slowinski, R.: Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules. Europ. J. Oper. Res. 158, 271–292 (2004)

    Article  MathSciNet  Google Scholar 

  20. Rico, A., Grabisch, M., Labreuche, C., Chateauneuf, A.: Preference modeling on totally ordered sets by the Sugeno integral. Discret. Appl. Math. 147, 113–124 (2005)

    Article  MathSciNet  Google Scholar 

  21. Murofushi, T., Sugeno, M.: Fuzzy measures and fuzzy integrals. In: Grabisch, M., Murofushi, T., Sugeno, M. (eds.) Fuzzy Measures and Integrals - Theory and Applications, pp. 3–41. Physica Verlag (2000)

    Google Scholar 

  22. Marichal, J.-L.: An axiomatic approach of the discrete Sugeno integral as a tool to aggregate interacting criteria in a qualitative framework. IEEE Trans. Fuzzy Syst. 9(1), 164–172 (2001)

    Article  MathSciNet  Google Scholar 

  23. Marichal, J.-L.: On Sugeno integral as an aggregation function. Fuzzy Sets Syst. 114, 347–365 (2000)

    Article  MathSciNet  Google Scholar 

  24. Dubois, D., Prade, H.: Qualitative possibility functions and integrals. In: Pap, E. (ed.) Handbook of Measure Theory, vol. 2, pp. 1469–1521. Elsevier (2002)

    Google Scholar 

  25. Dubois, D., Prade, H., Rico, A., Teuheux, B.: Generalized qualitative Sugeno integrals. Inf. Sci. 1–17 (2017)

    Google Scholar 

  26. Brabant, Q., Couceiro, M., Dubois, D., Prade, H., Rico, A.: Extracting decision rules from qualitative data via Sugeno utility functional. In: Proceeding of IPMU (2018)

    Google Scholar 

  27. Rico, A., Grabisch, M., Labreuche, C., Chateauneuf, A.: Preference modelling on totally ordered sets by the Sugeno integral. Discret. Appl. Math. 147, 113–124 (2005)

    Article  Google Scholar 

  28. Murofushi, T., Sugeno, M.: Null sets with respect to fuzzy measures. In: Proceedings of the 3rd International Fuzzy System Association World Congress (ISFA 1989), pp. 172–175 (1989)

    Google Scholar 

  29. Ralescu, D., Sugeno, M.: Fuzzy integral representation. Fuzzy Sets Syst. 84, 127–133 (1996)

    Article  MathSciNet  Google Scholar 

  30. Rico, A.: Modélisation des Préférences pour l’Aide à la Décision par l’Intégrale de Sugeno, Ph. D. thesis, Université Paris I Sorbonne (2002)

    Google Scholar 

  31. de Campos, L.M., Bolaños, M.J.: Characterization and comparison of Sugeno and Choquet integrals. Fuzzy Sets Syst. 52, 61–67 (1992)

    Article  MathSciNet  Google Scholar 

  32. Dubois, D., Fargier, H.: Making discrete Sugeno integrals more discriminant. Int. J. Approx. Reason. 50, 880–898 (2009)

    Article  MathSciNet  Google Scholar 

  33. Marichal, J.L.: Weighted lattice polynomials. Discret. Math. 309(4), 814–820 (2009)

    Article  MathSciNet  Google Scholar 

  34. Dubois, D., Rico, A.: Axiomatisation of Discrete Fuzzy Integrals with Respect to Possibility and Necessity Measures. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Yañez, C. (eds.) MDAI 2016. LNCS (LNAI), vol. 9880, pp. 94–106, 147, 195–197. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45656-0_8

  35. Couceiro, M., Dubois, D., Prade, H., Rico, A.: Enhancing the expressive power of sugeno integrals for qualitative data analysis. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. (eds.) IWIFSGN/EUSFLAT -2017. AISC, vol. 641, pp. 534–547. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-66830-7_48

    Chapter  Google Scholar 

  36. Dubois, D., Prade, H., Rico, A.: Qualitative capacities as imprecise possibilities. In: van der Gaag, L.C. (ed.) ECSQARU 2013. LNCS (LNAI), vol. 7958, pp. 169–180. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39091-3_15

    Chapter  Google Scholar 

  37. Dubois, D., Prade, H., Rico, A.: Residuated variants of Sugeno integrals: Towards new weighting schemes for qualitative aggregation methods. Inf. Sci. 329, 765–781 (2016)

    Article  Google Scholar 

  38. Greco, S., Rindone, F.: Bipolar fuzzy integrals. Fuzzy Sets Syst. 220, 21–33 (2013)

    Article  MathSciNet  Google Scholar 

  39. Dubois, D., Prade, H., Rico, A.: Qualitative integrals and desintegrals: how to handle positive and negative scales in evaluation. In: Proceedings of IPMU, pp. 347–355 (2012)

    Google Scholar 

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Acknowledgements

Dear Didier thank you very much for your comments.

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Correspondence to Agnès Rico .

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Rico, A. (2018). Discrete Sugeno Integrals and Their Applications. In: Ciucci, D., Pasi, G., Vantaggi, B. (eds) Scalable Uncertainty Management. SUM 2018. Lecture Notes in Computer Science(), vol 11142. Springer, Cham. https://doi.org/10.1007/978-3-030-00461-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-00461-3_2

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