Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms

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Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms

The Fuzzy Integral (FI) is a non-linear aggregation operator which enables the fusion of information from multiple sources in respect to a Fuzzy Measure (FM) which captures the worth of both the individual sources and all their possible combinations. Based on the expected potential of non-linear agg...

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Bibliographic Details
Main Authors:	Agrawal, Utkarsh, Pinar, Anthony J., Wagner, Christian, Havens, Timothy C., Soria, Daniele, Garibaldi, Jonathan M.
Format:	Conference or Workshop Item
Published:	2018
Subjects:	Ensemble Classification Comparison Fuzzy Measures Fuzzy Integrals Adaboost Bagging Majority Voting and Random Forest
Online Access:	https://eprints.nottingham.ac.uk/52131/

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