DocumentCode
2271383
Title
Modeling fuzzy logic controllers having noisy inputs
Author
Yager, Ronald R. ; Filev, Dimitar P.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1702
Abstract
Suggests a new approach for reasoning with fuzzy models that have noise in the inputs. It is inspired by a Dempster-Shafer belief structure interpretation of the probabilistic signal. We obtain result that are computationally effective and can be useful in the applications of fuzzy controllers in a noisy environment
Keywords
belief maintenance; control system analysis; fuzzy control; fuzzy logic; inference mechanisms; noise; uncertainty handling; Dempster-Shafer belief structure; fuzzy logic controllers; fuzzy models; noisy environment; noisy inputs; probabilistic signal; reasoning; Bismuth; Fuzzy logic; Fuzzy sets; Fuzzy systems; Histograms; Input variables; Machine intelligence; Pollution measurement; Probability density function; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343599
Filename
343599
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