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Uncertainty Reasoning in Rough Knowledge Discovery

Bi, Yaxin, Shen, Xuhui and Wu, Shengli (2008) Uncertainty Reasoning in Rough Knowledge Discovery. In: Interval / Probabilistic Uncertainty and Non-Classical Logics Advances in Soft Computing. Springer Berlin Heidelberg, pp. 187-200. ISBN 978-3-540-77663-5 [Book section]

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Abstract

In this paper we develop a rough set-based solution to dealing with the inconsistent decision classes of instances in inducing decision rules and an evidential reasoning method to resolve such inconsistent conclusions encountered in determining class decisions for instances. The distinguishing aspects of our method are to exploit the rough boundary region in inducing rules and to aggregate multiple conclusions in classifying instances. We present our proposed method and use an example to illustrate how our method can be applied to classification problems along with its advantage.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:25498
Deposited By: Dr Yaxin Bi
Deposited On:20 Jan 2016 14:46
Last Modified:20 Jan 2016 14:46

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