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Topics in rough set theory : current applications to granular computing / by Seiki Akama, Yasuo Kudo, Tetsuya Murai

By: Akama, Seiki, autor
Contributor(s): Kudo, Yasuo, autor | Murai, Tetsuya, autor
Series: (Intelligent Systems Reference Library, 1868-4394; 168); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing, 2020Edition: First edition.Description: 1 recurso en línea (XV, 201 páginas) : 14 ilustraciones, 1 ilustraciones a color.ISBN: 9783030295660.Subject: Conjuntos, Teoría de | Soft Computing | Conjuntos, Teoría deOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA248 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook07112072
Total holds: 0

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.

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