A complete method to incomplete information systems

Authors:
Ming-Wen Shao
Affiliations:
School of Information Technology, Jiangxi University of Finance & Economics, Nanchang, Jiangxi, P. R. China and Jiangxi Key Laboratory of Data and Knowledge Engineering, Jiangxi University of Fina ...
Venue:
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Year:
2007

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Abstract

In the paper, we present a novel method for handling incomplete information systems. By the proposed method we can transform an incomplete information system into a complete set-value information system without loss any information, and we discuss the relationship between the reducts of incomplete information system and the reducts of it's complements. For incomplete decision tables, we introduce two complete methods according to different criterions of certain factor of decision rules, i.e., maximal sum complement and maximal conjunction complement of certain factor of decision rules.