Wombat: a toolbox to build and optimize a fuzzy regression tree

摘要

Wombat is a toolbox allowing to build and optimize a fuzzy regression tree from numerical data. The number and the placement of membership functions are optimized in order to increase the information gain, under the user's control. Wombat can be used from a console or using a graphical interface written in TcL/Tk. The built tree can be exported, either in a graphical form (postscript, svg...), or in a file which can be used by an independent program in C language. Wombat will be proposed as a contribution to SCBLAB.