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Topics in rough set theory = current...

Akama, Seiki.

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Topics in rough set theory = current applications to granular computing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Topics in rough set theory/ by Seiki Akama, Yasuo Kudo, Tetsuya Murai.
其他題名:	current applications to granular computing /
作者:	Akama, Seiki.
其他作者:	Kudo, Yasuo.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 201 p. :ill., digital ;24 cm.
內容註:	Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
Contained By:	Springer eBooks
標題:	Rough sets. -
電子資源:	https://doi.org/10.1007/978-3-030-29566-0
ISBN:	9783030295660

Topics in rough set theory = current 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.168..

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

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

577805
Rough sets.

LC Class. No.: QA248

Dewey Class. No.: 551.322

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