期刊
INFORMATION SCIENCES
卷 181, 期 5, 页码 987-1002出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2010.10.030
关键词
Rough set; Dominance-based rough set approach; Monotonicity; Variable consistency; Decision rule; Sequential covering
资金
- Ministry of Science and Higher Education [N N519 314435]
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used for both ordered and non-ordered data. In the case of ordered data, the rough set model employs dominance relation, and in the case of non-ordered data, it employs indiscernibility relation. VC-DomLEM generates a minimal set of decision rules. These rules are characterized by a satisfactory value of the chosen consistency measure. We analyze properties of induced decision rules, and discuss conditions of correct rule induction. Moreover, we show how to improve rule induction efficiency due to application of consistency measures with desirable monotonicity properties. (C) 2010 Elsevier Inc. All rights reserved.
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