Comparison of different fuzzy algorithms in a function behavior recognition problem

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 c...

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Published in1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century Vol. 5; pp. 4107 - 4112 vol.5
Main Authors Druon, E., Duflos, E., Boulet, V., Willaeys, D., Vanheeghe, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1995
Subjects
Additive noise
Algorithm design and analysis
Approximation algorithms
Equations
Fuzzy control
Fuzzy logic
Gaussian noise
Inference algorithms
Performance analysis
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Summary: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.
ISBN:0780325591
9780780325593
DOI:10.1109/ICSMC.1995.538434