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

Author

Guillou, Xavier Le ; Glorennec, Pierre-Yves

Author_Institution

Dept. of Comput. Sci., INSA de Rennes/IRISA, Rennes

fYear

2005

fDate

28-31 Aug. 2005

Firstpage

1134

Lastpage

1139

Abstract

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 SCILAB

Keywords

data mining; fuzzy logic; graphical user interfaces; mathematics computing; optimisation; regression analysis; trees (mathematics); C language; Tcl/Tk; Wombat; constrained optimization; data mining; fuzzy logic; fuzzy regression tree; graphical interface; knowledge extraction; membership function optimization; supervised learning; Constraint optimization; Data mining; Decision trees; Fuzzy logic; Fuzzy sets; Page description languages; Regression tree analysis; Supervised learning; Testing; Tree graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

0-7803-9354-6

Type

conf

DOI

10.1109/CCA.2005.1507283

Filename

1507283