Seiki Akama, Yasuo Kudo, Tetsuya Murai

Topics in Rough Set Theory

Current Applications to Granular Computing

• Broschiertes Buch

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.

Produktdetails

• Intelligent Systems Reference Library 168
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-29568-4
• 1st ed. 2020
• Seitenzahl: 220
• Erscheinungstermin: 19. September 2020
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 341g
• ISBN-13: 9783030295684
• ISBN-10: 3030295680
• Artikelnr.: 60042578

Inhaltsangabe

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

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