Topics in rough set theory :: current applications to granular computing /: Seiki Akama, Yasuo Kudo, Tatsuya Murai.

Akama, Seiki.; Kudo, Yasuo.; Murai, Tetsuya.

Topics in rough set theory : current applications to granular computing / Seiki Akama, Yasuo Kudo, Tatsuya Murai.

Akama, Seiki.; Kudo, Yasuo.; Murai, Tetsuya.

2020

QA248

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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)

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.

Series

Intelligent systems reference library.

Available in Other Form

Topics in Rough Set Theory : Current Applications to Granular Computing.