作者: Junbo Zhang , Tianrui Li , Hongmei Chen
DOI: 10.1007/978-3-642-33478-8_20
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摘要: There are multiple kinds of data in information systems, e.g., categorical data, numerical set-valued interval-valued and missing data. Such systems called as composite this paper. To process such rough sets introduced, relation is defined classes used to drive approximations from systems. Lower upper a concept the basis for rule acquisition attribute reduction set theory. intuitively compute approximations, positive, boundary negative regions, matrix-based method presented sets. A case study validates feasibility proposed method.