Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library) - Softcover

Akama, Seiki; Kudo, Yasuo; Murai, Tetsuya

 
9783030295684: Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library)

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.

Von der hinteren Coverseite

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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Weitere beliebte Ausgaben desselben Titels

9783030295653: Topics in Rough Set Theory: Current Applications to Granular Computing: 168 (Intelligent Systems Reference Library, 168)

Vorgestellte Ausgabe

ISBN 10:  3030295656 ISBN 13:  9783030295653
Verlag: Springer, 2019
Hardcover