Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets
This paper presents the recognition algorithm with random selection of features. In the proposed procedure of classification the choice of weights is one of the main problems. In this paper we propose the weighted majority vote rule in which weights are represented by interval-valued fuzzy set (IVFS). In our approach the weights have a lower and upper membership function. The described algorithm was tested on one data set from UCI repository. The obtained results are compared with the most popular majority vote and the weighted majority vote rule.
KeywordsEnsemble of classifiers interval-valued fuzzy sets weighted majority vote
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