Research on Preprocess Approach for Uncertain System Based on Rough Set

Autor:	Xu E, Jiaxin Yang, Haijun Mu, Tao Qu, Hao Wu, Lijin Fan, Sheng Li
Rok vydání:	2010
Předmět:	Discretization business.industry Dominance-based rough set approach Extension (predicate logic) computer.software_genre Matrix similarity Data recovery Preprocessor Rough set Data mining business Equivalence (measure theory) computer Mathematics
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642134975 ICSI (2)
DOI:	10.1007/978-3-642-13498-2_86
Popis:	In order to preprocessing the uncertain system, the paper proposed a new approach based on rough set, which includes reducing redundant attributes, incomplete data recovery and continuous values discretation. The concept of tolerance relationship similar matrix via using an extension of equivalence relationship of rough set theory was defined, and by using the corresponding relationship of condition attributes and decision attributes, the missed data was recovered and the redudant attributes were deleted. Finally, depending on the concept of super-club data, discretization of the continuous attributes was implemented. The illustration and experimental results indicate that the approach is effective and efficient.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1dcbb151a5a25129026d036c6dbce347 https://doi.org/10.1007/978-3-642-13498-2_86 Zobrazit plný text záznamu