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A Non-local Coarsening Result in Granular Probabilistic Networks

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2639))

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Abstract

In our earlier works, we coined the phrase granular probabilistic reasoning and showed a local coarsening result. In this paper, we present a non-local method for coarsening variables (i.e., the variables are spread throughout the network) and establish its correctness.

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References

  1. Butz, C.J., Wong, S.K.M.: A local nest property in granular probabilistic networks, Proc. of the Fifth Joint Conf. on Information Sciences, 1, 158–161, 2000.

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  2. Wong, S.K.M., Butz, C.J.: Constructing the dependency structure of a multi-agent probabilistic network. IEEE Trans. Knowl. Data Eng. 13(3) (2001) 395–415.

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  3. Wong, S.K.M., Butz, C.J.: Contextual weak independence in Bayesian networks, Proc. of the Fifteenth Conf. on Uncertainty in Artificial Intelligence, 670–679, 1999.

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  4. Xiang, Y.: Probabilistic Reasoning in Multi-Agent Systems: A Graphical Models Approach. Cambridge Publishers, 2002.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Canada, S4S 0A2

    Cory J. Butz, Hong Yao & Howard J. Hamilton

Authors
  1. Cory J. Butz
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  2. Hong Yao
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  3. Howard J. Hamilton
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Editor information

Editors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Guoyin Wang

  2. Department of Computer Science, Nanchang University, Nanchang, 330029, P.R. China

    Qing Liu

  3. Department of Computer Science, University of Regina, Regina, Saskatchewan, S4S 0A2, Canada

    Yiyu Yao

  4. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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© 2003 Springer-Verlag Berlin Heidelberg

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Butz, C.J., Yao, H., Hamilton, H.J. (2003). A Non-local Coarsening Result in Granular Probabilistic Networks. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_116

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  • DOI: https://doi.org/10.1007/3-540-39205-X_116

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14040-5

  • Online ISBN: 978-3-540-39205-7

  • eBook Packages: Springer Book Archive

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