語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Granular computing." ]
切換:
標籤
|
MARC模式
|
ISBD
Topics in rough set theory = current...
~
Akama, Seiki.
FindBook
Google Book
Amazon
博客來
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 theory
current 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
Topics in rough set theory = current applications to granular computing /
LDR
:01633nmm a2200337 a 4500
001
2213943
003
DE-He213
005
20200224155120.0
006
m d
007
cr nn 008maaau
008
201118s2020 sz s 0 eng d
020
$a
9783030295660
$q
(electronic bk.)
020
$a
9783030295653
$q
(paper)
024
7
$a
10.1007/978-3-030-29566-0
$2
doi
035
$a
978-3-030-29566-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA248
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
551.322
$2
23
090
$a
QA248
$b
.A313 2020
100
1
$a
Akama, Seiki.
$3
2132615
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.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
xv, 201 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Intelligent systems reference library,
$x
1868-4394 ;
$v
v.168
505
0
$a
Introduction -- Overview of Rough Set Theory -- Object Reduction in Rough Set Theory.
520
$a
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.
650
0
$a
Rough sets.
$3
577805
650
0
$a
Granular computing.
$3
590271
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Artificial Intelligence.
$3
769149
700
1
$a
Kudo, Yasuo.
$3
3299788
700
1
$a
Murai, Tetsuya.
$3
3299787
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Intelligent systems reference library ;
$v
v.168.
$3
3443971
856
4 0
$u
https://doi.org/10.1007/978-3-030-29566-0
950
$a
Intelligent Technologies and Robotics (Springer-42732)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9388856
電子資源
11.線上閱覽_V
電子書
EB QA248
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入