Tuning complex fuzzy systems by supervised learning algorithms


Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that involves many parameters. This paper presents an study of different approaches that can be applied to perform this tuning process automatically, and describes a CAD tool, named xfsl, which allows applying a wide set of these approaches: (a) a large number of… (More)
DOI: 10.1109/FUZZ.2003.1209366


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