{
"item_title" : "Topics in Rough Set Theory",
"item_author" : [" Seiki Akama", "Yasuo Kudo", "Tetsuya Murai "],
"item_description" : "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
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Overview
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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Details
- ISBN-13: 9783030295684
- ISBN-10: 3030295680
- Publisher: Springer
- Publish Date: September 2020
- Dimensions: 9.21 x 6.14 x 0.46 inches
- Shipping Weight: 0.69 pounds
- Page Count: 201
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