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.
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Shao, MW. (2007). A Complete Method to Incomplete Information Systems. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_6
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DOI: https://doi.org/10.1007/978-3-540-72458-2_6
Publisher Name: Springer, Berlin, Heidelberg
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