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Topics in Rough Set Theory: Current Applications to Granular Computing
Seiki Akama
(Author)
·
Yasuo Kudo
(Author)
·
Tetsuya Murai
(Author)
·
Springer
· Paperback
Topics in Rough Set Theory: Current Applications to Granular Computing - Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya
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Synopsis "Topics in Rough Set Theory: Current Applications to Granular Computing"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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