Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library, 168) - Image 1

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Springer Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library, 168)

Name: Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library, 168)
Brand: Springer
Price: 73.85 GBP
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Description

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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030295656
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 September 2019
Listed Since: 18 July 2019

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Springer Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library, 168)

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