Topics in Rough Set Theory
Current Applications to Granular Computing
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Springer International Publishing
2019
EPub, PDF
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978-3-030-29566-0
3-030-29566-4
Annotation
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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