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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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.
109.99
In Stock
5
1
Topics in Rough Set Theory: Current Applications to Granular Computing
201
Topics in Rough Set Theory: Current Applications to Granular Computing
201Paperback(1st ed. 2020)
$109.99
109.99
In Stock
Product Details
| ISBN-13: | 9783030295684 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 09/19/2020 |
| Series: | Intelligent Systems Reference Library , #168 |
| Edition description: | 1st ed. 2020 |
| Pages: | 201 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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