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Topics in Rough Set Theory = Current...

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Topics in Rough Set Theory = Current Applications to Granular Computing /

紀錄類型:	書目-語言資料,印刷品 : 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.
面頁冊數:	XV, 201 p. 14 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
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. - 1st ed. 2020. - XV, 201 p. 14 illus., 1 illus. in color.online resource. - Intelligent Systems Reference Library,1681868-4394 ;. - Intelligent Systems Reference Library,67.

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:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Topics in Rough Set Theory = Current Applications to Granular Computing /
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