Topics in Rough Set Theory: Current Applications to Granular Computing: 168 - Rilegato

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

 
9783030295653: Topics in Rough Set Theory: Current Applications to Granular Computing: 168
Rilegato
ISBN 10: 3030295656 ISBN 13: 9783030295653
Casa editrice: Springer-Nature New York Inc, 2019

Sinossi

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.


Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
3030295656
ISBN 13 
9783030295653
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
220
Contatto del produttore
non disponibile
Persona responsabile
ProductSafety@springernature.com
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783030295684: Topics in Rough Set Theory: Current Applications to Granular Computing: 168

Edizione in evidenza

ISBN 10:  3030295680 ISBN 13:  9783030295684
Casa editrice: Springer, 2020
Brossura