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Titlebook: Incomplete Information System and Rough Set Theory; Models and Attribute Xibei Yang,Jingyu Yang Book 2012 Science Press,Beijng and Springer

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樓主
發(fā)表于 2025-3-21 19:36:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Incomplete Information System and Rough Set Theory
副標題Models and Attribute
編輯Xibei Yang,Jingyu Yang
視頻videohttp://file.papertrans.cn/464/463322/463322.mp4
概述Considers not only the regular attributes but also the criteria in the incomplete information systems.Presents most of the important rough set models in the incomplete information systems.Addresses th
圖書封面Titlebook: Incomplete Information System and Rough Set Theory; Models and Attribute Xibei Yang,Jingyu Yang Book 2012 Science Press,Beijng and Springer
描述."Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing. .Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China..
出版日期Book 2012
關(guān)鍵詞Attribute Reduction; Dominance-based Rough Set; Incomplete Information System; Rough Set; SCIPRESS
版次1
doihttps://doi.org/10.1007/978-3-642-25935-7
isbn_ebook978-3-642-25935-7
copyrightScience Press,Beijng and Springer Berlin Heidelberg 2012
The information of publication is updating

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發(fā)表于 2025-3-21 23:22:12 | 只看該作者
Expansions of Rough Sets in Incomplete Information Systemso incomplete information system have been introduced. Firstly, by assuming that the unknown values can be compared with any values in the domains of the corresponding attributes, the tolerance relation, valued tolerance relation, maximal consistent block, descriptor can be used to construct rough ap
板凳
發(fā)表于 2025-3-22 02:52:03 | 只看該作者
Neighborhood System and Rough Set in Incomplete Information Systemoduced into the incomplete information system. By employing the coverings induced by maximal consistent blocks and support sets of descriptors, two different neighborhood systems can be obtained, respectively. By using the knowledge engineering view in Granular Computing, a new knowledge operation i
地板
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Multigranulation Rough Sets in Incomplete Information System set approach to incomplete information system. In this chapter, by considering two different semantic explanations of the unknown values, the tolerance relations, similarity relations are employed to construct multigranulation rough sets in incomplete information system, respectively. Following Qia
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發(fā)表于 2025-3-22 17:31:34 | 只看該作者
ramework for understanding religion.Is a participant observa.This book provides an original and challenging perspective of religions as abstract complex adaptive systems, using an interdisciplinary approach to try to understand what religions are and how they function, two fundamental issues which,
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發(fā)表于 2025-3-23 01:36:14 | 只看該作者
Xibei Yang,Jingyu Yangelected patients with limited peritoneal carcinomatosis (PC) is now undertaken with curative intent. Approximately 150,000 patients are diagnosed with colorectal cancer (CRC) in 2012 in the USA and one third die from the disease each year. Approximately 8,000 patients in the USA are diagnosed with s
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