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200 10$aTopics in Rough Set Theory $eCurrent Applications to Granular Computing /$fby Seiki Akama, Yasuo Kudo, Tetsuya Murai
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (208 pages)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v168
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327   $aIntroduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
330   $aThis 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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