Details

Topics in Rough Set Theory


Topics in Rough Set Theory

Current Applications to Granular Computing
Intelligent Systems Reference Library, Band 168

von: Seiki Akama, Yasuo Kudo, Tetsuya Murai

90,94 €

Verlag: Springer
Format: PDF
Veröffentl.: 10.09.2019
ISBN/EAN: 9783030295660
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<div><p>This book discusses current topics in rough set theory. &nbsp;Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.</p><br></div>
Introduction.-&nbsp;Overview of Rough Set Theory.-&nbsp;Object Reduction in Rough Set Theory.
<p>This book discusses current topics in rough set theory. &nbsp;Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.</p>
<p>Examines current topics in rough set theory</p><p>Discusses recent research issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing</p><p>Includes current applications in granular computing</p>

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