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

89,24 €

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

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Beschreibungen

This book discusses current topics in rough set theory.  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.
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.
This book discusses current topics in rough set theory.  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.
Examines current topics in rough set theory

Discusses recent research issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing

Includes current applications in granular computing

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