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W. H. Xu, M. W. Shao and W. X. Zhang, “Knowledge Reduction Based on Evidence Reasoning Theory in Ordered Information Systems,” Lecture Notes in Artificial Intelligence, Vol. 4092, 2006, pp. 535-547. doi:10.1007/11811220_45

has been cited by the following article:

• TITLE: Lower Approximation Reduction in Ordered Information System with Fuzzy Decision

  AUTHORS: Xiaoyan Zhang, Weihua Xu

  KEYWORDS: Fuzzy Decision, Lower Approximation Reduction, Ordered Information Systems, Rough Set

  JOURNAL NAME: Applied Mathematics, Vol.2 No.7, July 15, 2011

  ABSTRACT: Attribute reduction is one of the most important problems in rough set theory. This paper introduces the concept of lower approximation reduction in ordered information systems with fuzzy decision. Moreover, the judgment theorem and discernable matrix are obtained, in which case an approach to attribute reduction in ordered information system with fuzzy decision is constructed. As an application of lower approximation reduction, some examples are applied to examine the validity of works obtained in our works..