Fuzzy Sets, Fuzzy Controllers, and Neural Networks
نویسندگان
چکیده
This paper gives a short introduction into Fuzzy Set Theory, presents an overview on fuzzy controllers, and discusses possible combinations between fuzzy controllers and neural networks. Fuzzy Sets suggested by L.A. Zadeh 32] ooer a possibility to formally describe linguistic expressions like tall, fast, medium, etc., and to operate on them. Fuzzy controllers use fuzzy sets to represent linguistic values of the input and output variables of a physical system, and describe their relations by fuzzy if{then rules. The idea of fuzzy control is to simulate a human expert who is able to control the system by translation of his or her linguistic inference rules into a control function. Artiicial neural networks are highly parallel architectures consisting of simple processing elements which communicate through weighted connections. They are able to approximate functions or to solve certain tasks by learning from examples. Combinations of neural networks and fuzzy controllers can help to overcome problems in the design and tuning processes of fuzzy controllers.
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