Abstract
In this paper, the concept of non-symmetric similarity relation had been used to formulate a new definition of approximation to an incomplete information management system. By means of the new definition of approximation to an object set and the concept of attribute value pair, the rough-sets-based methodology for certain rule acquisition in an incomplete information management system had been developed. The algorithm could deal with incomplete data directly and do not required changing the size of the original incomplete system. The experiment showed that the algorithm provides precise and simple certain decision rules and does not affect by the missing values.
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Liu, Xj. (2010). The Study on Decision Rules in Incomplete Information Management System Based on Rough Sets. In: Luo, Q. (eds) Advances in Wireless Networks and Information Systems. Lecture Notes in Electrical Engineering, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14350-2_54
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DOI: https://doi.org/10.1007/978-3-642-14350-2_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14349-6
Online ISBN: 978-3-642-14350-2
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