Fuzzy Lattice Reasoning Classifier (FLR) v5.0 The Fuzzy Lattice Reasoning Classifier uses the notion of Fuzzy Lattices for creating a Reasoning Environment. The current version can be used for classification using numeric predictors. For more information see: I
N.Athanasiadis, V.
G.Kaburlasos, P.
A.Mitkas, V.
Petridis: Applying Machine Learning Techniques on Air Quality Data for Real-Time Decision Support.In: 1st Intl.
NAISO Symposium on Information Technologies in Environmental Engineering (ITEE-2003), Gdansk, Poland, 2003.
V.G.
Kaburlasos, I.N.
Athanasiadis, P.A.
Mitkas, V.Petridis (2003).
Fuzzy Lattice Reasoning (FLR) Classifier and its Application on Improved Estimation of Ambient Ozone Concentration.
(based on WEKA 3.7)
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.