A new method for semi-automatic fuzzy training and its application in environmental modeling

Authors:
Ralf Wieland;Wilfried Mirschel;Karin Groth;Alison Pechenick;Kyoko Fukuda
Affiliations:
Leibniz-Center for Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, 15374 Muencheberg, Germany;Leibniz-Center for Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, 15374 Muencheberg, Germany;Leibniz-Center for Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, 15374 Muencheberg, Germany;Leibniz-Center for Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, 15374 Muencheberg, Germany;Leibniz-Center for Agricultural Landscape Research, Institute of Landscape Systems Analysis, Eberswalder Str. 84, 15374 Muencheberg, Germany
Venue:
Environmental Modelling & Software
Year:
2011

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Abstract

A new method for semi-automatic fuzzy training is introduced. This technique combines statistical data analysis with the training of fuzzy rules. The modeler controls the fuzzy training system with easily-understood parameters. An incomplete set of fuzzy rules can be refined by the expert as well as reveal information about the data set. The effectiveness of the new method is demonstrated using two examples. The fuzzy training algorithm was implemented as open source software with a graphical user interface.