학술논문
K-step ahead prediction in fuzzy decision space-application to prognosis
Document Type
Conference
Author
Source
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Fuzzy Systems, 1992., IEEE International Conference on. :669-676 1992
Subject
Language
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.ETX