Journal
FUZZY SETS AND SYSTEMS
Volume 122, Issue 3, Pages 401-407Publisher
ELSEVIER
DOI: 10.1016/S0165-0114(99)00161-X
Keywords
pattern recognition; multiple classifier fusion; aggregation; decision templates; measures of similarity and inclusion
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Decision templates (DT) are a technique for classifier fusion for continuous-valued individual classifier outputs. The individual outputs considered here sum up to the same value (e.g., statistical classifiers, yielding some estimates of the posterior probabilities for the classes). First, the DT fusion algorithm is explained. Second, we show that two similarity measures (S-1 and S-2) and two inclusion indices (I-1 and I-2) between fuzzy sets (see Dubois and Prade, Fuzzy Sets and Systems: Theory and Applications, Academic Press, New York, 1980) produce the same DT classifier. The equivalence is proven by showing that for every object submitted for classification, all four measures induce the same ordering on the set of class labels (through DT fusion), thereby assigning the object to the same class. (C) 2001 Elsevier Science B.V. All rights reserved.
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