Topics in rough set theory : current applications to granular computing / Seiki Akama, Yasuo Kudo, Tatsuya Murai.
2020
QA248
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Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Topics in rough set theory : current applications to granular computing / Seiki Akama, Yasuo Kudo, Tatsuya Murai.
Author
Akama, Seiki.
ISBN
9783030295660 (electronic book)
3030295664 (electronic book)
3030295664 (electronic book)
Publication Details
Cham : Springer, 2020.
Language
English
Description
1 online resource (208 pages)
Item Number
10.1007/978-3-030-29
Call Number
QA248
Dewey Decimal Classification
551.322
Summary
This book discusses current topics in rough set theory. Since Pawlaks 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 25, 2019).
Added Author
Kudo, Yasuo.
Murai, Tetsuya.
Murai, Tetsuya.
Series
Intelligent systems reference library.
Available in Other Form
Topics in Rough Set Theory : Current Applications to Granular Computing.
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Online Access
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Online Resources > Ebooks
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