國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Fuzzy collaborative forecasting and ...

Chen, Tin-Chih Toly.

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy collaborative forecasting and clusteringby Tin-Chih Toly Chen, Katsuhiro Honda.
其他題名:	methodology, system architecture, and applications /
作者:	Chen, Tin-Chih Toly.
其他作者:	Honda, Katsuhiro.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	ix, 89 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy systems.
電子資源:	https://doi.org/10.1007/978-3-030-22574-2
ISBN:	9783030225742$q(electronic bk.)

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /
Chen, Tin-Chih Toly.

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /[electronic resource] :by Tin-Chih Toly Chen, Katsuhiro Honda. - Cham :Springer International Publishing :2020. - ix, 89 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Fuzzy Collaborative Intelligence and Systems -- Linear Fuzzy Collaborative Forecasting Methods -- Nonlinear Fuzzy Collaborative Forecasting Methods -- Fuzzy Co-clustering -- Collaborative Framework for Fuzzy Co-clustering -- Three-mode Fuzzy Co-clustering -- Collaborative Framework for Three-mode Fuzzy Co-clustering.

This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.

ISBN: 9783030225742$q(electronic bk.)

Standard No.: 10.1007/978-3-030-22574-2doiSubjects--Topical Terms:

182084
Fuzzy systems.

LC Class. No.: QA248.5

Dewey Class. No.: 511.3223

Fuzzy collaborative forecasting and clusteringmethodology, system architecture, and applications /
LDR:02270nmm a2200337 a 4500 001 578171
003 DE-He213
005 20200213155657.0
006 m d
007 cr nn 008maaau
008 201208s2020 sz s 0 eng d
020 $a 9783030225742$q(electronic bk.)
020 $a 9783030225735$q(paper)
024 7 $a 10.1007/978-3-030-22574-2 $2 doi
035 $a 978-3-030-22574-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA248.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 511.3223 $2 23
090 $a QA248.5 $b .C518 2020
100 1 $a Chen, Tin-Chih Toly. $3 866761
245 1 0 $a Fuzzy collaborative forecasting and clustering $h [electronic resource] : $b methodology, system architecture, and applications / $c by Tin-Chih Toly Chen, Katsuhiro Honda.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a ix, 89 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Fuzzy Collaborative Intelligence and Systems -- Linear Fuzzy Collaborative Forecasting Methods -- Nonlinear Fuzzy Collaborative Forecasting Methods -- Fuzzy Co-clustering -- Collaborative Framework for Fuzzy Co-clustering -- Three-mode Fuzzy Co-clustering -- Collaborative Framework for Three-mode Fuzzy Co-clustering.
520 $a This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.
650 0 $a Fuzzy systems. $3 182084
650 0 $a Fuzzy sets. $3 182529
650 0 $a Cluster analysis. $3 182711
650 0 $a Fuzzy decision making. $3 346451
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 758833
650 2 4 $a Operations Research/Decision Theory. $3 273963
650 2 4 $a Simulation and Modeling. $3 273719
700 1 $a Honda, Katsuhiro. $3 277673
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 557662
856 4 0 $u https://doi.org/10.1007/978-3-030-22574-2
950 $a Intelligent Technologies and Robotics (Springer-42732)