Variable-precision-dominance-based rough set approach to interval-valued information systems
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AbstractThis 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.
All Author(s) ListZhang HY, Leung Y, Zhou L
Journal nameInformation Sciences
Volume Number244
Pages75 - 91
LanguagesEnglish-United Kingdom
KeywordsDominance relation; Interval-valued information system; Knowledge reduction; Variable-precision-dominance-based rough set
Web of Science Subject CategoriesComputer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS

Last updated on 2020-05-07 at 00:59