Topics in Rough Set Theory

Seiki Akama

ISBN 10: 3030295680 / ISBN 13: 9783030295684

Editore: Springer International Publishing Sep 2020, 2020

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 220 pp. Englisch.

Codice articolo 9783030295684

Dati bibliografici

• Titolo: Topics in Rough Set Theory
• Editore: Springer International Publishing Sep 2020
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030295680
• ISBN 13: 9783030295684
• Rilegatura: Taschenbuch
• Condizione: Neu

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Riassunto

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.