DocumentCode :
1615047
Title :
Bayesian inference based upon fuzzy events
Author :
Yuan, Bo ; Klir, George J.
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., State Univ. of New York, Binghamton, NY, USA
fYear :
1995
Firstpage :
90
Lastpage :
94
Abstract :
The purpose of the paper is to show that, contrary to the claims of some probabilists of the Bayesian trade, probability theory relates to fuzzy set theory in a similar way as it relates to classical set theory. Examining the well known proof by R.T. Cox (1946), whose aim is to justify the rules of classical Bayesian inference, we point to some weaknesses of the proof and show that it does not exclude the possibility of alternative rules of Bayesian inference based on fuzzy events
Keywords :
Bayes methods; fuzzy logic; fuzzy set theory; inference mechanisms; uncertainty handling; Bayesian inference; alternative rules; classical set theory; fuzzy events; fuzzy set theory; probabilists; probability theory; Bayesian methods; Boolean algebra; Educational institutions; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Industrial engineering; Probabilistic logic; Set theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
Type :
conf
DOI :
10.1109/ISUMA.1995.527674
Filename :
527674
Link To Document :
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