NodeFLR (3.7)

Learner

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.

Input ports

  1. Training data Type: Data
    Training data

Output ports

  1. Trained model Type: Weka 3.7 Classifier
    Trained model