Topics in rough set theory: current applications to granular computing
Auteur :
Akama, Seiki / Kudo, Yasuo / Murai, Tetsuya
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030295684
Date de publication :
19 sept. 2020
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.