Abstract
In this paper, a decision system that uses dispersed knowledge is considered. In particular, an ensemble of classifiers in which the relations between classifiers are analyzed and coalitions of classifiers that are formed is discussed. In a previous work, the use of Pawlak’s conflict model in order to create such coalitions was proposed. In this paper, four fusion methods are used in this system – two from the abstract level and two from the rank level. The results that were obtained using these four methods were compared and some conclusions are presented in this paper.
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