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[null,"1.","Record Nr.",null,"UNINA9910483323903321"]
[null,null,"Autore",null,"Akama Seiki"]
[null,null,"Titolo",null,"Topics in Rough Set Theory : Current Applications to Granular Computing / / by Seiki Akama, Yasuo Kudo, Tetsuya Murai"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-29566-4"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (208 pages)"]
[null,null,"Collana",null,"Intelligent Systems Reference Library, , 1868-4394 ; ; 168"]
[null,null,"Disciplina",null,"511.32"]
[{"$nulls":4},"551.322"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory."]
[null,null,null,"Sommario/riassunto","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."]