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Generalised influential rule search scheme for fuzzy function approximation
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DOI：10.1007/s00500-005-0471-2.png)
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摘要
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The present paper is a humble attempt to develop a fuzzy function approximator which can completely self-generate its fuzzy rule base and input-output membership functions from an input-output data set. The fuzzy system can be further adapted to modify its rule base and output membership functions to provide satisfactory performance. This proposed scheme, called generalised influential rule search scheme, has been successfully implemented to develop pure fuzzy function approximators as well as fuzzy logic controllers. The satisfactory performance of the proposed scheme is amply demonstrated by implementing it to develop different major components in a process control loop. The versatility of the algorithm is further proved by implementing it for a benchmark nonlinear function approximation problem.
Keyword:
adaptive fuzzy systems
fuzzy function approximators
FCM with modified alpha-cuts
fuzzy rule base punishment
adaptation of output membership functions
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期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
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