期刊
INFORMATION SCIENCES
卷 244, 期 -, 页码 75-91出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2013.04.031
关键词
Interval-valued information system; Dominance relation; Variable-precision-dominance-based rough set; Knowledge reduction
资金
- earmarked Grant of the Hong Kong Research Grants Council [CUHK4711/06H]
- Geographical Modeling and Geocomputation Program under the Focused Investment Scheme of The Chinese University of Hong Kong
This paper proposes a general framework for the study of interval-valued information systems by integrating the variable-precision-dominance-based rough set theory with inclusion measure theory. By introducing a a-dominance relation based on inclusion measures between two interval numbers, we propose a variable-precision-dominance-based rough set approach based on the substitution of indiscernibility relation by the a-dominance relation. The knowledge discovery framework is formulated for interval-valued information systems. Furthermore, knowledge reduction of interval-valued decision systems based on the variable-precision-dominance-based rough set model is postulated. Relationships between these reducts and discemibility matrices are also established to substantiate knowledge reduction in the variable-precision-dominance-based rough set model. (C) 2013 Elsevier Inc. All rights reserved.
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