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Proceedings Paper

Bayes' formula holds for fuzzy events
Author(s): Fred A. Watkins
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Paper Abstract

Proper evaluation of evidence from multiple sources is often difficult, especially when some or all of that evidence is ill-defined. A combination of traditional probabilistic methods and fuzzy set theory provides a way to combine such evidence in a statistically meaningful manner. This paper shows that appropriate versions of Bayes' Theorem apply to fuzzy events.

Paper Details

Date Published: 22 December 1993
PDF: 4 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165031
Show Author Affiliations
Fred A. Watkins, HyperLogic Corp. and Univ. of California/Irvine (United States)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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