Advances in the Dempster- Shafer Theory of Evidence

, & (eds.)
John Wiley (1994)
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Abstract

Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.

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0471552488

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Chapters

Decision Making with Belief Functions.  (pages 331-352)J. Y. Jaffray

Similar books and articles

Decision Making with Belief Functions.J. Y. Jaffray - 1994 - In R. Yager, M. Fedrizzi & J. Kacprzyk (eds.), Advances in the Dempster- Shafer Theory of Evidence. John Wiley. pp. 331-352.
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Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory.Stephan Hartmann & Rolf Haenni - 2006 - Information Fusion 7:361-379.
Modal logic interpretation of Dempster-Shafer theory: An infinite case.David Harmanec, George Klir & Zhenyuan Wang - 1996 - International Journal of Approximate Reasoning 14 (2--3):81--93.
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Jeffrey's rule of conditioning.Glenn Shafer - 1981 - Philosophy of Science 48 (3):337-362.
A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.

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Citations of this work

Keynes, Uncertainty and Interest Rates.Brian Weatherson - 2002 - Cambridge Journal of Economics 26 (1):47-62.
Begging the Question and Bayesians.Brian Weatherson - 1999 - Studies in History and Philosophy of Science Part A 30:687-697.
On nonparametric predictive inference and objective bayesianism.F. P. A. Coolen - 2006 - Journal of Logic, Language and Information 15 (1-2):21-47.
On Uncertainty.Brian Weatherson - 1998 - Dissertation, Monash University

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