Abstract
Uncertain information can not be processed by Pawlak rough set theory, and the missing data must be completed for applying in knowledge acquisition. In this paper, OR transposed table was proposed based on attribute reduction mentality to target incomplete decision tables. OR value can be selected from values of attribute by transforming information table into OR transposed table and using attribute reduction mentality, therefore the incomplete decision tables were transformed into complete decision table. And finally the example is analyzed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Wang, X.: A Data Complement Method for Incomplete Decision Tables. Journal of Tianjin University of Science & Technology 22(3), 62–64 (2007)
Li, Y.: A Data Complement Method of Incomplete Decision Table. Science & Technology Information 20, 508–509 (2008)
Li, P., Wu, Q.: Completing data algorithms based on probability similarity. Application on Research of Computers 26(3), 881–883 (2009)
Chen, H., Zhang, M., Yang, J.-a.: Method of Data Discretization Based on Rough Set Theory. Computer Engineering 44(3), 30–32 (2008)
Ning, W., Zhao, M.: More Improved Greedy Algorithm for Discretization of Decision Table. Computer Engineering and Applications 43(3), 173–174 (2007)
Qu, B., Lu, Y.: Fast Attribute Reduction Algorithm Based on Rough Sets. Computer Engineering 33(11), 7–9 (2007)
Lu, S., Liu, F., Hu, B.: A attribute reduction algorithm based on attribute dependence. Journal of Huazhong University of Science & Technology 36(2), 39–41 (2008)
Zhang, W., Liang, Y., Wo, Z.: Information System and Knowledge Discovery. Science Publishers, Beijing (2003)
Zhang, W., Liang, Y., Wo, Z.: Rough Set Theory and Knowledge Acquisition. Xi’an Jiaotong University Press, Xi’an (2001)
Kantardzic, M.: Data Mining Concepts, Models, Methods and Algorithms. Wiley-Interscience, Piscataway (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, J., Yang, Y., Liu, B. (2010). The OR Data Complement Method for Incomplete Decision Tables. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_48
Download citation
DOI: https://doi.org/10.1007/978-3-642-16336-4_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16335-7
Online ISBN: 978-3-642-16336-4
eBook Packages: Computer ScienceComputer Science (R0)