Dynamic classifier aggregation using interaction-sensitive fuzzy measures

  title={Dynamic classifier aggregation using interaction-sensitive fuzzy measures},
  author={David Stefka and Martin Holena},
  journal={Fuzzy Sets and Systems},
In classifier aggregation using fuzzy integral, the performance of the classifier system depends heavily on the choice of the underlying fuzzy measure. However, little attention has been given to the choice of the fuzzy measure in the literature; usually, the Sugeno λ-measure is used. A weakness of the Sugeno λ-measure is that it cannot model the interactions between individual classifiers. That motivated us to develop two novel fuzzy measures and a modification of an existing fuzzy measure… CONTINUE READING


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