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 supervised learning algorithms; (b) different processes to
simplify the learned system; (c) tuning only specific parameters
of the system; (d) the ability to tune hierarchical fuzzy
systems, systems with continuous output (like fuzzy controller)
as well as with categorical output (like fuzzy classifiers),
and even systems that employ user-defined fuzzy
functions; and, finally, (e) the ability to employ this tuning
within the design flow of a fuzzy system, because xfsl is integrated
into the fuzzy system development environment
Xfuzzy 3.0.Comisión Interministerial de Ciencia y Tecnología TIC2001-1726-C02-0
