Adaptative fuzzy systems and classification

Javier Lois Casares (jlois@kant.dcs.fi.uva.es)
Fri, 11 Sep 1998 01:51:25 +0200 (MET DST)

Hello:
Im making my end of career project about using adaptative fuzzy
systems in classification tasks.
I had to implement the Algorithm of Dr. Li Xin Wang "Training of fuzzy
logic systems using a table-lookup scheme" as it comes in his book
"Adaptative
fuzzy systems and control. Design and stability analysis".
The algorithm is originaly designed to be used as a fuzzy controler,
but Im tryng to use it in classification.
The training data is numerical and has the output class information
codified in a "1 of n" way. I tried using one output space for each
class
with one only fuzzy set in each one, and with two,(I use a triangular
membership
function), but it doesnt work very well. Does somebody have a better
idea? What kind of input-output, fuzzy sets and membership function
configuration
can i use?

thanks to everybody:
Javi

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