Topics in Rough Set Theory : Current Applications to Granular Computing
2020 ed.
Book Details
Format
Paperback / Softback
Book Series
Intelligent Systems Reference Library
ISBN-10
3030295680
ISBN-13
9783030295684
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 19th, 2020
Print length
201 Pages
Weight
344 grams
Dimensions
23.60 x 15.50 x 1.60 cms
Product Classification:
Artificial intelligenceArtificial intelligence (AI)
Ksh 16,200.00
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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.
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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