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

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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.

Language: English

Pages: 216

Format: Hardcover

Release: September 19, 2019

ISBN 13: 9783030295653

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

0/5 ( ratings)

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.

Language: English

Pages: 216

Format: Hardcover

Release: September 19, 2019

ISBN 13: 9783030295653

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