Abstract
By considering the inconsistent character in many information system, the variable precision rough set (VPRS) model is introduced to solve decision-making problems in this paper. Firstly, the integrations of the interesting and discernibility of knowledge based on VPRS model are defined, and an approach for available knowledge is proposed. Then, the incremental learning method of VPRS model in dynamic environment and the incremental updating for accuracy and coverage are also studied. At last, a case is studied to validate the feasibility of our method.
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Liu, D., Hu, P., Jiang, C. (2008). The Incremental Learning Methodology of VPRS Based on Complete Information System. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2008. Lecture Notes in Computer Science(), vol 5009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79721-0_40
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DOI: https://doi.org/10.1007/978-3-540-79721-0_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79720-3
Online ISBN: 978-3-540-79721-0
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