Seiki Akama, Yasuo Kudo, Tetsuya Murai

Topics in Rough Set Theory (eBook, PDF)

Current Applications to Granular Computing

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 201
• Erscheinungstermin: 10. September 2019
• Englisch
• ISBN-13: 9783030295660
• Artikelnr.: 57700565

Inhaltsangabe

Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.