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Valuations on Lattices: Fuzzification and its Implications

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 67))

Summary. The notion of ordering is perhaps one of the most fundamental of abstract concepts. The zeta function is used to algebraically describe the ordering of elements in a lattice. An appropriate generalization of the zeta function generalizes the concept of inclusion to degrees of inclusion. However, the lattice structure imposes strong constraints on the values that these degrees can take. Here we review our previous work [1] 1 in studying these degrees of inclusion and relate these notions to the fuzzification of the lattice (independently introduced by Vassilis Kaburlasos). We show that an inclusion measure on the Boolean lattice of logical statements leads to Bayesian probability theory, which suggests a fundamental relationship between fuzzification of a Boolean lattice and Bayesian probability theory.

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© 2007 Springer-Verlag Berlin Heidelberg

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Knuth, K.H. (2007). Valuations on Lattices: Fuzzification and its Implications. In: Kaburlasos, V.G., Ritter, G.X. (eds) Computational Intelligence Based on Lattice Theory. Studies in Computational Intelligence, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72687-6_15

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  • DOI: https://doi.org/10.1007/978-3-540-72687-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72686-9

  • Online ISBN: 978-3-540-72687-6

  • eBook Packages: EngineeringEngineering (R0)

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