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Topics in Rough Set Theory - Current Applications to Granular Computing (Hardcover, 1st ed. 2020) Loot Price: R2,936
Discovery Miles 29 360
Repayment Terms: R275 pm x 12*
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Topics in Rough Set Theory - Current Applications to Granular Computing (Hardcover, 1st ed. 2020): Seiki Akama, Yasuo Kudo,...

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

Seiki Akama, Yasuo Kudo, Tetsuya Murai

Series: Intelligent Systems Reference Library, 168

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Loot Price R2,936 Discovery Miles 29 360 | Repayment Terms: R275 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 2019
First published: 2020
Authors: Seiki Akama • Yasuo Kudo • Tetsuya Murai
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 201
Edition: 1st ed. 2020
ISBN-13: 978-3-03-029565-3
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-029565-6
Barcode: 9783030295653

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