Title :
K-step ahead prediction in fuzzy decision space-application to prognosis
Author :
Frelicot, C. ; Dubuisson, B.
Author_Institution :
URA CNRS, Univ. de Technol. de Compiegne, France
Abstract :
The authors demonstrate the ability and the accuracy of a modified extended Kalman filter used as a k-step-ahead predictor to perform a predicted membership function´s point in a fuzzy decision space based on fuzzy pattern recognition principles, instead of a predicted state in the feature space. Results obtained with this prediction procedure are presented. A scheme including both fuzzy decision and prediction procedures is proposed for prognosis
Keywords :
Kalman filters; decision theory; filtering and prediction theory; pattern recognition; fuzzy decision space; fuzzy pattern recognition principles; k-step-ahead predictor; modified extended Kalman filter; prognosis; Computer industry; Condition monitoring; Data processing; Fuzzy set theory; Fuzzy systems; Pattern recognition; Predictive maintenance; Predictive models; Space technology; Stochastic processes;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258806
