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Topics in Rough Set Theory: Current Applications to Granular Computing

By (author) Seiki Akama, By (author) Yasuo Kudo, By (author) Tetsuya Murai

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This book discusses current topics in rough set theory. Â Since Pawlakâ€™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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320 pages
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192 pages
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Hardback
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