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Titlebook: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing; 13th International C Sergei O. Kuznetsov,Dominik ?l?zak,Boris G. Mirkin Confere

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書目名稱Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
副標(biāo)題13th International C
編輯Sergei O. Kuznetsov,Dominik ?l?zak,Boris G. Mirkin
視頻videohttp://file.papertrans.cn/832/831925/831925.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing; 13th International C Sergei O. Kuznetsov,Dominik ?l?zak,Boris G. Mirkin Confere
描述This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. .The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.
出版日期Conference proceedings 2011
關(guān)鍵詞artificial neural networks; cloud model; decision trees; fuzzy databases; soft computing
版次1
doihttps://doi.org/10.1007/978-3-642-21881-1
isbn_softcover978-3-642-21880-4
isbn_ebook978-3-642-21881-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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Conference proceedings 2011viewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.
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Covering Numbers in Covering-Based Rough Setsts. With covering numbers, we establish a distance structure, two semilattices and a lattice for covering-based rough sets. The new concepts are helpful in studying covering-based rough sets from topological and algebraical viewpoints.
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Sensitivity Analysis for Fuzzy Linear Programming Problems proposed method as compared to existing method. To illustrate the proposed method and to show the advantage of proposed method the numerical examples, solved by Kheirfam and Hasani, are solved by the proposed method and the obtained results are compared.
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