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A new thresholding algorithm and its multi-threshold extension are presented to improve the performance of image segmentation. The probabilistic rough set is used to portray the objects and backgrounds in image. The optimal threshold is given through a minimum boundary criterion. A new rough membership function is defined in the light of requirements of image thresholding.
This paper presents a new approach for constructing decision trees based on variable precision rough set model. The presented approach is aimed at handling uncertain information during the process of inducing decision trees and generalizes the rough set based approach to decision tree construction by allowing some extent misclassification when classifying objects. In the paper, variable precision...
Rough set theory is an important tool for approximate reasoning about data. Axiomatic systems of rough sets are significant for using rough set theory in logical reasoning systems. In this paper, we propose a unified lower approximation axiomatic system for arbitrary binary relation based generalized rough sets. As the dual of axiomatic systems for lower approximation, a unified upper approximation...
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