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Titlebook: Rough Set Theory: A True Landmark in Data Analysis; Ajith Abraham,Rafael Falcón,Rafael Bello Book 2009 Springer-Verlag Berlin Heidelberg 2

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發(fā)表于 2025-3-21 19:19:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Rough Set Theory: A True Landmark in Data Analysis
編輯Ajith Abraham,Rafael Falcón,Rafael Bello
視頻videohttp://file.papertrans.cn/832/831885/831885.mp4
概述Reports recent research results in rough set research.Includes supplementary material:
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Rough Set Theory: A True Landmark in Data Analysis; Ajith Abraham,Rafael Falcón,Rafael Bello Book 2009 Springer-Verlag Berlin Heidelberg 2
描述.Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable..
出版日期Book 2009
關(guān)鍵詞Computational Intelligence; Computer-Aided Design (CAD); Evolution; Fuzzy; Rough Set Research; algorithms
版次1
doihttps://doi.org/10.1007/978-3-540-89921-1
isbn_softcover978-3-642-10062-8
isbn_ebook978-3-540-89921-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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發(fā)表于 2025-3-21 23:39:46 | 只看該作者
https://doi.org/10.1007/978-3-540-89921-1Computational Intelligence; Computer-Aided Design (CAD); Evolution; Fuzzy; Rough Set Research; algorithms
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發(fā)表于 2025-3-22 02:47:38 | 只看該作者
Ajith Abraham,Rafael Falcón,Rafael BelloReports recent research results in rough set research.Includes supplementary material:
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978-3-642-10062-8Springer-Verlag Berlin Heidelberg 2009
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Granular Structures and Approximations in Rough Sets and Knowledge Spacesin the framework, we examine the granular structures and approximations in rough set analysis and knowledge spaces. Although the two theories use different types of granules, they can be unified in the proposed framework.
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ound that removing gas from the swimbladder of . (cod) reduced the sensitivity at 300 Hz by about 20 dB, while Fay and Popper (1975) found a decline in the sound pressure sensitivity of . (catfish) above 100 Hz after swimbladder deflation. In a neat experiment on the dab ., a species without a swimb
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the fish in the schools is small the fish never seem to collide in the course of fast maneuvers in tight formation, and it seems likely that the acousticolateralis system plays a role (see Partridge, Chapter 26). Another feature of the behavior of many clupeid species is that they migrate between th
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P. Eklund,M. A. Galán,J. Karlssones. In this chapter we will summarize this diversity in the ear, from the gross structure to the ultrastructure of the sensory epithelia, and suggest some of the possible functional meanings for these structural differences. We hope that this discussion will stimulate interest in pursuing direct exp
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