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
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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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