An evolutionary algorithm for membership fuzzy function auto tuning

Applications with advanced control method usage are frequently employed in real tasks. These methods include fuzzy logic and evolutionary algorithm. In this article evolutionary algorithm is used to find the best fuzzy function characteristic points.

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Bibliographic Details
Main Authors: Domanski, P.D., Plamowski, S., Lesniewski, J.S.
Format: Conference Proceeding
Language:English
Subjects:
Decoding
Evolutionary computation
Fuzzy logic
Fuzzy sets
Fuzzy systems
Information technology
Neural networks
Parameter estimation
Signal processing
Temperature
Online Access:Request full text
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Description
Summary:Applications with advanced control method usage are frequently employed in real tasks. These methods include fuzzy logic and evolutionary algorithm. In this article evolutionary algorithm is used to find the best fuzzy function characteristic points.
ISSN:2158-9860
2158-9879
DOI:10.1109/ISIC.2003.1254771