Topics in Rough Set Theory
Current Applications to Granular Computing
(Sprache: Englisch)
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....
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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.Inhaltsverzeichnis zu „Topics in Rough Set Theory “
Introduction.- Overview of Rough Set Theory.- Object Reduction in Rough Set Theory.
Bibliographische Angaben
- Autoren: Seiki Akama , Yasuo Kudo , Tetsuya Murai
- 2019, 1st ed. 2020, XV, 201 Seiten, 1 farbige Abbildungen, Masse: 15,8 x 25,2 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030295656
- ISBN-13: 9783030295653
Sprache:
Englisch
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