Generate and optimize fuzzy rules using the Particle Swarm Algorithm
The success of fuzzy application to solve the control problems depends on a number of parameters, such as fuzzy rules and membership functions. The problem of generating desirable fuzzy rules is very important in the development of fuzzy systems, which are usually decided upon subjectively. This pap...
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Published in | 2010 IEEE International Conference on Systems, Man and Cybernetics pp. 4244 - 4250 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2010
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Subjects | |
Online Access | Get full text |
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Summary: | The success of fuzzy application to solve the control problems depends on a number of parameters, such as fuzzy rules and membership functions. The problem of generating desirable fuzzy rules is very important in the development of fuzzy systems, which are usually decided upon subjectively. This paper describes a very simple and straightforward fuzzy rule generation and optimization technique by using the Particle Swarm Optimization Algorithm (PSO). The proposed algorithm can obtain a set of fuzzy rules which cover the examples set in iterative process. The proposed method is tested with promising results. |
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ISBN: | 1424465869 9781424465866 |
ISSN: | 1062-922X 2577-1655 |
DOI: | 10.1109/ICSMC.2010.5642488 |