DocumentCode
808872
Title
Including probabilistic uncertainty in fuzzy logic controller modeling using Dempster-Shafer theory
Author
Yager, Ronald R. ; Filev, Dimitar P.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
Volume
25
Issue
8
fYear
1995
fDate
8/1/1995 12:00:00 AM
Firstpage
1221
Lastpage
1230
Abstract
Discusses some basic ideas from the Dempster-Shafer theory of evidence. The authors describe the concept of fuzzy systems modeling used in fuzzy logic control. The authors use the Dempster-Shafer framework to provide a machinery for including randomness in the fuzzy systems modeling process. The authors show how to represent additive noise in this combined framework
Keywords
case-based reasoning; fuzzy control; fuzzy systems; probability; uncertainty handling; Dempster-Shafer theory; additive noise; evidence; fuzzy logic controller modeling; fuzzy systems modeling; probabilistic uncertainty; randomness; Additive noise; Data structures; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Machine intelligence; Machinery; Modeling; Uncertainty;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/21.398683
Filename
398683
Link To Document