Topics in Rough Set Theory : Current Applications to Granular Computing

Springer Nature Switzerland AG

Topics in Rough Set Theory: Current Applications to Granular Computing\nby Seiki Akama\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Seiki Akama\nTitle: Topics in Rough Set Theory: Current Applications to Granular Computing\nFormat: Paperback\nLanguage: English\nTopic: Artificial intelligence\nPublisher: Springer Nature Switzerland AG\nPublication year: 2020\nEdition: 1st ed. 2020\nISBN-13: 9783030295684\nISBN-10: 3030295680\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\n\nThis book discusses current topics in rough set theory.  Since Pawlak\u2019s 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 m.