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Topics in Rough Set Theory de Seiki Akama

Topics in Rough Set Theory: Intelligent Systems Reference Library, cartea 168

Autor Seiki Akama, Yasuo Kudo, Tetsuya Murai
en Limba Engleză Hardback – 19 sep 2019
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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Specificații

ISBN-13: 9783030295653
ISBN-10: 3030295656
Pagini: 220
Ilustrații: XV, 201 p. 14 illus., 1 illus. in color.
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.5 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Intelligent Systems Reference Library
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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.

Caracteristici

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