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Titlebook: Rough Sets; International Joint Lech Polkowski,Yiyu Yao,Beata Zielosko Conference proceedings 2017 Springer International Publishing AG 20

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發(fā)表于 2025-3-21 17:17:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Rough Sets
副標(biāo)題International Joint
編輯Lech Polkowski,Yiyu Yao,Beata Zielosko
視頻videohttp://file.papertrans.cn/832/831891/831891.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Rough Sets; International Joint  Lech Polkowski,Yiyu Yao,Beata Zielosko Conference proceedings 2017 Springer International Publishing AG 20
描述.This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017...The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organ
出版日期Conference proceedings 2017
關(guān)鍵詞Information systems; Incomplete data; Uncertainty; Data Analysis; Rough set theory; Vagueness; Rough mereo
版次1
doihttps://doi.org/10.1007/978-3-319-60837-2
isbn_softcover978-3-319-60836-5
isbn_ebook978-3-319-60837-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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The Multi-purpose Role of the Relational Approach to Classic and Generalized Approximation Spaces. ARough Set Theory is inherently connected with relations.
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Lech Polkowski,Yiyu Yao,Beata ZieloskoIncludes supplementary material:
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https://doi.org/10.1007/978-3-319-60837-2Information systems; Incomplete data; Uncertainty; Data Analysis; Rough set theory; Vagueness; Rough mereo
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Rough Sets978-3-319-60837-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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