DocumentCode :
1039224
Title :
Vagueness and Bayesian probability
Author :
Wilson, Nic
Author_Institution :
Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
Volume :
2
Issue :
1
fYear :
1994
fDate :
2/1/1994 12:00:00 AM
Firstpage :
34
Lastpage :
36
Abstract :
This paper is a response to Michael Laviolette and John W. Seaman Jr.´s ( ibid. vol.2, no.1, p.4 (1994)) position paper “The efficacy of fuzzy representations of uncertainty,” which criticizes fuzzy representations of uncertainty, and suggests that Bayesian probability can do better. The commenter argues that the author´s make some misleading comments about Bayesian probability, and he briefly discusses the problem of giving a satisfactory interpretation of membership functions
Keywords :
Bayes methods; fuzzy set theory; probability; uncertainty handling; Bayesian probability; fuzzy representations; fuzzy set theory; membership functions; uncertainty representation; vagueness; Bayesian methods; Computer science; Fuzzy sets; Uncertainty; Writing;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/91.273121
Filename :
273121
Link To Document :
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