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A method for structure identification in complete rule-based fuzzy systems

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4 Author(s)
Pomares, H. ; Fac. de Ciencias, Granada Univ., Spain ; Rojas, I. ; Gonzalez, J. ; Prieto, A.

This paper presents a reliable method to obtain the structure of a complete rule-based fuzzy system for a specific approximation accuracy of the training data, i.e. it can decide which input variables must be taken into account in the fuzzy system and how many membership functions are needed in every selected input variable in order to reach the approximation target with the minimum number of parameters

Published in:

Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:1 )

Date of Conference:

2001