Three-way decision model with two types of classification errors
Abstract
For an uncertain target set, three disjoint regions, i.e., positive, negative, and boundary regions, are established in a rough approximation space. To improve the fault-tolerance ability of the rough set model, a probabilistic rough set model with a pair of thresholds is proposed, and two types of classification errors are introduced from the viewpoint of probability and statistics. A decision-theoretic rough set model is proposed to minimize...
Paper Details
Title
Three-way decision model with two types of classification errors
Published Date
Aug 31, 2017
Journal
Volume
420
Pages
431 - 453
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