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Part of the book series: Artificial Intelligence ((AI))

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Abstract

In this book we restrict our attention to numerical methods that are based on measure-theoretic concepts. Logical approaches to uncertainty and vagueness are not treated, and due to space limitations we shall not present concepts such as probabilistic logic within the book. Although one could argue that probabilistic logic is also a numerical method, we regard it is more as a combination of a calculus for uncertainty handling and a logical calculus, but not as a pure measure-theoretic concept.

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© 1991 Springer-Verlag Berlin Heidelberg

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Kruse, R., Schwecke, E., Heinsohn, J. (1991). Related Research. In: Uncertainty and Vagueness in Knowledge Based Systems. Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76702-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-76702-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76704-3

  • Online ISBN: 978-3-642-76702-9

  • eBook Packages: Springer Book Archive

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