Static Classifier Selection with Interval Weights of Base Classifiers

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9011)


The selection of classifiers is one of the important problems in the creation of an ensemble of classifiers. The paper presents the static selection in which a new method of calculating the weights of individual classifiers is used. The obtained weights can be interpreted in the context of the interval logic. It means that the particular weights will not be provided precisely but their lower and upper values will be used. A number of experiments have been carried out on several data sets from the UCI repository.


Classifier fusion Interval logic Static classifiers selection Multiple classifier system 


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This work was supported by the Polish National Science Center under the grant no. DEC-2013/09/B/ST6/02264 and by the statutory funds of the Department of Systems and Computer Networks, Wroclaw University of Technology.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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