Title :
Comparison of different fuzzy algorithms in a function behavior recognition problem
Author :
Druon, E. ; Duflos, E. ; Boulet, V. ; Willaeys, D. ; Vanheeghe, P.
Author_Institution :
Dept. Signaux et Syst., Inst. Superieur d´´Electron. du Nord, Lille, France
Abstract :
Fuzzy logic is now used in a large number of application domains including control and estimation. The aim of this paper is to show how techniques based on fuzzy logic can be used in a function behavior recognition problem when data are corrupted by noise. Different algorithms based on fuzzy logic controllers are studied. Their speed and precision performance is analyzed
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; least squares approximations; function behavior recognition; fuzzy algorithms; fuzzy control; fuzzy logic; fuzzy set theory; inference rules; least squares approximation; sensory data; Additive noise; Algorithm design and analysis; Approximation algorithms; Equations; Fuzzy control; Fuzzy logic; Gaussian noise; Inference algorithms; Performance analysis;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538434
