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Topics in Rough Set Theory - Current Applications to Granular Computing (Paperback, 1st ed. 2020) Loot Price: R2,873

Discovery Miles 28 730

Repayment Terms: R269 pm x 12*

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Topics in Rough Set Theory - Current Applications to Granular Computing (Paperback, 1st ed. 2020): Seiki Akama, Yasuo Kudo,...

Topics in Rough Set Theory - Current Applications to Granular Computing (Paperback, 1st ed. 2020)

Seiki Akama, Yasuo Kudo, Tetsuya Murai

Series: Intelligent Systems Reference Library, 168

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 168
Release date:	September 2020
First published:	2020
Authors:	Seiki Akama • Yasuo Kudo • Tetsuya Murai
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	201
Edition:	1st ed. 2020
ISBN-13:	978-3-03-029568-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-029568-0
Barcode:	9783030295684