Topics in Rough Set Theory: Current Applications to Granular Computing - Couverture rigide

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

 
9783030295653: Topics in Rough Set Theory: Current Applications to Granular Computing

Synopsis

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.


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Autres éditions populaires du même titre

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

Edition présentée

ISBN 10 :  3030295680 ISBN 13 :  9783030295684
Editeur : Springer, 2020
Couverture souple