Topics in Rough Set Theory Current Applications to Granular Computing pdf


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Topics in Rough Set Theory Current Applications to Granular Computing pdf

Topics in Rough Set Theory Current Applications to Granular Computing pdf : Pages 208

By Seiki Akama, Yasuo Kudo, Tetsuya Murai

Publisher: Springer, Year: 2020

ISBN: 9783030295653

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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.

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