Structure identification of acquired knowledge in fuzzy inference by genetic algorithms
In the fuzzy modelling and construction of fuzzy inference rules for fuzzy controllers, it is a very important problem to acquire automatically the knowledge for the objects from only their given data. Many methods for knowledge acquisition have been reported and published in the many journals and proceedings in the conference. However, there are no method to identify the structure of acquired knowledge. Then the authors propose a method to identify the structure of the acquired knowledge for objective systems in the form of the multi-stage fuzzy inference from only their given input and output data by a genetic algorithm
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