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Topics in rough set theorycurrent ap...

Akama, Seiki.

Topics in rough set theorycurrent applications to granular computing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Topics in rough set theoryby Seiki Akama, Yasuo Kudo, Tetsuya Murai.
Reminder of title:	current applications to granular computing /
Author:	Akama, Seiki.
other author:	Kudo, Yasuo.
Published:	Cham :Springer International Publishing :2020.
Description:	xv, 201 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Rough sets.
Online resource:	https://doi.org/10.1007/978-3-030-29566-0
ISBN:	9783030295660$q(electronic bk.)

Topics in rough set theorycurrent applications to granular computing /
Akama, Seiki.

Topics in rough set theorycurrent applications to granular computing /[electronic resource] :by Seiki Akama, Yasuo Kudo, Tetsuya Murai. - Cham :Springer International Publishing :2020. - xv, 201 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1681868-4394 ;. - Intelligent systems reference library ;v.24..

Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.

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.

ISBN: 9783030295660$q(electronic bk.)

Standard No.: 10.1007/978-3-030-29566-0doiSubjects--Topical Terms:

231623
Rough sets.

LC Class. No.: QA248

Dewey Class. No.: 551.322

Topics in rough set theorycurrent applications to granular computing /
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245 1 0 $a Topics in rough set theory $h [electronic resource] : $b current applications to granular computing / $c by Seiki Akama, Yasuo Kudo, Tetsuya Murai.
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505 0 $a Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
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