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portada Topics in Rough Set Theory: Current Applications to Granular Computing
Type
Physical Book
Author
Publisher
Language
English
Pages
201
Format
Hardcover
Dimensions
23.4x15.6x1.4 cm
Weight
0.49 kg.
ISBN13
9783030295653
Categories

Topics in Rough Set Theory: Current Applications to Granular Computing

Seiki Akama (Author) · Yasuo Kudo (Author) · Tetsuya Murai (Author) · Springer · Hardcover

Topics in Rough Set Theory: Current Applications to Granular Computing - Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya

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Synopsis "Topics in Rough Set Theory: Current Applications to Granular Computing"

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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