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Choquet Integrals with Respect to Fuzzy Measure on Fuzzy σ–Algebra

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Advances in Machine Learning and Cybernetics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3930))

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Abstract

In this paper a new kind of Choquet integral with respect to fuzzy measure on fuzzy σ–algebra is introduced, and some elementary properties of this kind of Choquet integral are studied. Convergence theorems for sequences of Choquet integrals are shown. A transformation theorem is given, which reveals the relation between this kind of Choquet integral on fuzzy sets and the Choquet integral on classical crisp sets. Finally, a new set function defined by this kind of Choquet integral is discussed. This new set function preserves many structural characteristics of the original set function.

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, Y., Wu, C. (2006). Choquet Integrals with Respect to Fuzzy Measure on Fuzzy σ–Algebra. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_35

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  • DOI: https://doi.org/10.1007/11739685_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33584-9

  • Online ISBN: 978-3-540-33585-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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