DocumentCode
3451923
Title
A mass assignment theory for uncertainty reasoning
Author
Baldwin, J.F.
Author_Institution
Dept. of Eng. Math., Bristol Univ., UK
fYear
1992
fDate
8-12 Mar 1992
Firstpage
1367
Lastpage
1374
Abstract
A theory of mass assignments is given, which allows inference under fuzzy and probabilistic reasoning. The theory includes an algebra, a conditioning process for inference under uncertainty and the derivation of a mass assignment from a fuzzy set. Examples are given to illustrate applications to fuzzy control and fuzzy reasoning, and these approaches are extended to include also probabilistic uncertainty. Treatments of causal nets, nonmonotonic logic and probability logic are also illustrated
Keywords
fuzzy set theory; inference mechanisms; probabilistic logic; probability; causal nets; fuzzy control; fuzzy reasoning; fuzzy set theory; inference; mass assignment theory; nonmonotonic logic; probabilistic reasoning; probability logic; uncertainty reasoning; Algebra; Artificial intelligence; Bayesian methods; Fuzzy control; Fuzzy reasoning; Fuzzy set theory; Logic; Mathematics; Probabilistic logic; Probability distribution; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258696
Filename
258696
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