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Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule

Year 2024, Volume: 53 Issue: 6, 1715 - 1723, 28.12.2024
https://doi.org/10.15672/hujms.1463439

Abstract

The Choquet integral is an extension of Lebesgue integral and mathematical expectation in generalized measure theory. It's not easy to approximate the Choquet integral in the continuous case on a real line. The Choquet integral should be primarily estimated for non-additive measures. There are few studies on approximating the Choquet integral in the continuous case on real lines. No research has been done on the midpoint rule for the Choquet integral. The main objective of this paper is to propose some applications of the midpoint rule for approximating continuous Choquet integrals. By using the Choquet-midpoint rule, we can numerically solve Choquet integrals, specifically singular and unbounded integrals. Our proposed methodology is illustrated through several numerical examples.

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References

  • [1] H. Agahi, M. Behroozifar, Choquet integration by Simpsons rule with application in Hellinger distance, Soft Comput. 24 (19), 14463-70, 2020.
  • [2] G. Choquet, Theory of capacities, Annales de l’institut Fourier 5, 131–295, 1954.
  • [3] P.J. Davis, Interpolation and approximation, Courier Corporation, 1975.
  • [4] D. Denneberg, Non-Additive Measure and Integral, Kluwer Academic Publishers, 1994.
  • [5] I. Gilboa, D. Schmeidler, Additive representation of non-additive measures and the Choquet integral, Ann. Oper. Res. 52, 43–65, 1994.
  • [6] S. Greco, F. Rindone, The bipolar Choquet integral representation, Theory Decis. 77 (1), 1-29, 2014.
  • [7] M. Grigorova, Stochastic orderings with respect to a capacity and an application to a financial optimization problem, Stat. Risk Model. 2 (31), 183-213, 2014.
  • [8] V. Krätschmer, Robust representation of convex risk measures by probability measures, Finance Stoch. 9 (4), 597-608, 2005.
  • [9] J. Leitner, Dilatation monotonous Choquet integrals, J. Math. Econ. 41 (8), 994–1006, 2005.
  • [10] R. Mesiar, J. Li and E. Pap, The Choquet integral as Lebesgue integral and related inequalities, Kybernetika 46 (6), 1098-1107, 2010.
  • [11] F. Meng, Q. Zhang, Induced continuous Choquet integral operators and their application to group decision making, Comput. Ind. Eng. 68, 42–53, 2014.
  • [12] G.M. Phillips, Interpolation and Approximation by Polynomials, Springer Science & Business Media, 2003.
  • [13] M. Ridaoui, M. Grabisch, Choquet integral calculus on a continuous support and its applications, halshs-01411987 , 2016.
  • [14] J. Stoer, R. Bulirsch, Introduction to numerical analysis, Springer Science & Business Media, 2013.
  • [15] M. Sugeno, A note on derivatives of functions with respect to fuzzy measures, Fuzzy Sets Syst. 222, 1–17, 2013.
  • [16] M. Sugeno, A way to Choquet Calculus, IEEE Trans. Fuzzy Syst. 23 (5), 1439-1457, 2015.
  • [17] V. Torra, Y. Narukawa and M. Sugeno, On the f-divergence for non-additive measures, Fuzzy Sets Syst. 512, 364–379, 2016.
  • [18] V. Torra, Entropy for non-additive measures in continuous domains, Fuzzy Sets Syst. 324, 49–59, 2017.
  • [19] V. Torra, Y. Narukawa, Numerical integration for the Choquet integral, Information Fusion 31, 137-45, 2016.
  • [20] V. Torra, Y. Narukawa, M. Sugeno and M. Carlson, Hellinger distance for fuzzy measures, In8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) 581-586, 2013.
  • [21] D. Zhang, R. Mesiar and E. Pap, Pseudo-integral and generalized Choquet integral, Fuzzy Sets Syst. 446, 193-221, 2022.
  • [22] D. Zhang, R. Mesiar and E. Pap, Double Set-function Choquet Integral with Applications, Inf. Sci. 677, 120948, 2024.
Year 2024, Volume: 53 Issue: 6, 1715 - 1723, 28.12.2024
https://doi.org/10.15672/hujms.1463439

Abstract

Project Number

No Project

References

  • [1] H. Agahi, M. Behroozifar, Choquet integration by Simpsons rule with application in Hellinger distance, Soft Comput. 24 (19), 14463-70, 2020.
  • [2] G. Choquet, Theory of capacities, Annales de l’institut Fourier 5, 131–295, 1954.
  • [3] P.J. Davis, Interpolation and approximation, Courier Corporation, 1975.
  • [4] D. Denneberg, Non-Additive Measure and Integral, Kluwer Academic Publishers, 1994.
  • [5] I. Gilboa, D. Schmeidler, Additive representation of non-additive measures and the Choquet integral, Ann. Oper. Res. 52, 43–65, 1994.
  • [6] S. Greco, F. Rindone, The bipolar Choquet integral representation, Theory Decis. 77 (1), 1-29, 2014.
  • [7] M. Grigorova, Stochastic orderings with respect to a capacity and an application to a financial optimization problem, Stat. Risk Model. 2 (31), 183-213, 2014.
  • [8] V. Krätschmer, Robust representation of convex risk measures by probability measures, Finance Stoch. 9 (4), 597-608, 2005.
  • [9] J. Leitner, Dilatation monotonous Choquet integrals, J. Math. Econ. 41 (8), 994–1006, 2005.
  • [10] R. Mesiar, J. Li and E. Pap, The Choquet integral as Lebesgue integral and related inequalities, Kybernetika 46 (6), 1098-1107, 2010.
  • [11] F. Meng, Q. Zhang, Induced continuous Choquet integral operators and their application to group decision making, Comput. Ind. Eng. 68, 42–53, 2014.
  • [12] G.M. Phillips, Interpolation and Approximation by Polynomials, Springer Science & Business Media, 2003.
  • [13] M. Ridaoui, M. Grabisch, Choquet integral calculus on a continuous support and its applications, halshs-01411987 , 2016.
  • [14] J. Stoer, R. Bulirsch, Introduction to numerical analysis, Springer Science & Business Media, 2013.
  • [15] M. Sugeno, A note on derivatives of functions with respect to fuzzy measures, Fuzzy Sets Syst. 222, 1–17, 2013.
  • [16] M. Sugeno, A way to Choquet Calculus, IEEE Trans. Fuzzy Syst. 23 (5), 1439-1457, 2015.
  • [17] V. Torra, Y. Narukawa and M. Sugeno, On the f-divergence for non-additive measures, Fuzzy Sets Syst. 512, 364–379, 2016.
  • [18] V. Torra, Entropy for non-additive measures in continuous domains, Fuzzy Sets Syst. 324, 49–59, 2017.
  • [19] V. Torra, Y. Narukawa, Numerical integration for the Choquet integral, Information Fusion 31, 137-45, 2016.
  • [20] V. Torra, Y. Narukawa, M. Sugeno and M. Carlson, Hellinger distance for fuzzy measures, In8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) 581-586, 2013.
  • [21] D. Zhang, R. Mesiar and E. Pap, Pseudo-integral and generalized Choquet integral, Fuzzy Sets Syst. 446, 193-221, 2022.
  • [22] D. Zhang, R. Mesiar and E. Pap, Double Set-function Choquet Integral with Applications, Inf. Sci. 677, 120948, 2024.
There are 22 citations in total.

Details

Primary Language English
Subjects Computational Statistics
Journal Section Statistics
Authors

Mahmoud Behroozifar 0000-0002-6885-0218

Project Number No Project
Early Pub Date October 8, 2024
Publication Date December 28, 2024
Submission Date April 2, 2024
Acceptance Date September 12, 2024
Published in Issue Year 2024 Volume: 53 Issue: 6

Cite

APA Behroozifar, M. (2024). Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule. Hacettepe Journal of Mathematics and Statistics, 53(6), 1715-1723. https://doi.org/10.15672/hujms.1463439
AMA Behroozifar M. Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule. Hacettepe Journal of Mathematics and Statistics. December 2024;53(6):1715-1723. doi:10.15672/hujms.1463439
Chicago Behroozifar, Mahmoud. “Approximating Choquet Integral in Generalized Measure Theory: Choquet-Midpoint Rule”. Hacettepe Journal of Mathematics and Statistics 53, no. 6 (December 2024): 1715-23. https://doi.org/10.15672/hujms.1463439.
EndNote Behroozifar M (December 1, 2024) Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule. Hacettepe Journal of Mathematics and Statistics 53 6 1715–1723.
IEEE M. Behroozifar, “Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule”, Hacettepe Journal of Mathematics and Statistics, vol. 53, no. 6, pp. 1715–1723, 2024, doi: 10.15672/hujms.1463439.
ISNAD Behroozifar, Mahmoud. “Approximating Choquet Integral in Generalized Measure Theory: Choquet-Midpoint Rule”. Hacettepe Journal of Mathematics and Statistics 53/6 (December 2024), 1715-1723. https://doi.org/10.15672/hujms.1463439.
JAMA Behroozifar M. Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule. Hacettepe Journal of Mathematics and Statistics. 2024;53:1715–1723.
MLA Behroozifar, Mahmoud. “Approximating Choquet Integral in Generalized Measure Theory: Choquet-Midpoint Rule”. Hacettepe Journal of Mathematics and Statistics, vol. 53, no. 6, 2024, pp. 1715-23, doi:10.15672/hujms.1463439.
Vancouver Behroozifar M. Approximating Choquet integral in generalized measure theory: Choquet-midpoint rule. Hacettepe Journal of Mathematics and Statistics. 2024;53(6):1715-23.