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Dynamic Classifier Aggregation using Fuzzy Integral with Interaction-Sensitive Fuzzy Measure
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SYSNO ASEP 0351614 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Dynamic Classifier Aggregation using Fuzzy Integral with Interaction-Sensitive Fuzzy Measure Author(s) Štefka, David (UIVT-O)
Holeňa, Martin (UIVT-O) SAI, RIDSource Title Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications. - Los Alamitos : IEEE, 2010 / Hassanien A.E. ; Abraham A. ; Marcelloni F. ; Hagras H. ; Antonelli M. ; Hong T.P. - ISBN 978-1-4244-8135-4 Pages s. 225-230 Number of pages 6 s. Action ISDA 2010. International Conference on Intelligent Systems Design and Applications /10./ Event date 29.11.2010-01.12.2010 VEvent location Cairo Country EG - Egypt Event type WRD Language eng - English Country US - United States Keywords dynamic classifier combining ; fuzzy integral ; Choquet integral ; fuzzy measure Subject RIV IN - Informatics, Computer Science R&D Projects ME 949 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA201/08/0802 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) EID SCOPUS 79851498441 DOI 10.1109/ISDA.2010.5687260 Annotation In classifier combining, predictions of several classifiers are aggregated into a single prediction in order to improve the classification quality. Among others, fuzzy integrals are commonly used as aggregation operators. Usually, Sugeno lambda-measure is used as the fuzzy measure of the integral. However, interaction between the classifiers in the team (diversity), an important property in classifier combining, cannot be modeled by such fuzzy measure. In this paper, we present an interaction-sensitive fuzzy measure (ISFM), which can incorporate the diversity of the team into the aggregation process. Experimental results on 27 datasets show that the Choquet integral w.r.t. the ISFM outperforms the Choquet integral w.r.t. the Sugeno-lambda measure. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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