Data classification using the Dempster-Shafer method

Abstract

In this paper, the Dempster-Shafer method is employed as the theoretical basis for creating data classification systems. Testing is carried out using three popular (multiple attribute) benchmark datasets that have two, three and four classes. In each case, a subset of the available data is used for training to establish thresholds, limits or likelihoods of… (More)
DOI: 10.1080/0952813X.2014.886301

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