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Nonlinear integrals and their applic...

Leung, Kwong Sak, (1955-)

Nonlinear integrals and their applications in data mining

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear integrals and their applications in data miningZhenyuan Wang, Rong Yang, Kwong-Sak Leung.
Author:	Wang, Zhenyuan.
other author:	Yang, Rong.
Published:	Singapore ;World Scientific Pub. Co.,c2010.
Description:	xviii, 340 p. :ill. (some col.)
Subject:	Fuzzy sets.
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/6861#t=toc
ISBN:	9789812814685 (electronic bk.)

Nonlinear integrals and their applications in data mining
Wang, Zhenyuan.

Nonlinear integrals and their applications in data mining[electronic resource] /Zhenyuan Wang, Rong Yang, Kwong-Sak Leung. - Singapore ;World Scientific Pub. Co.,c2010. - xviii, 340 p. :ill. (some col.) - Advances in fuzzy systems ;v. 24. - Advances in fuzzy systems ;v. 24..

Includes bibliographical references (p. 329-336) and index.

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2010.

System requirements: Adobe Acrobat Reader.

ISBN: 9789812814685 (electronic bk.)Subjects--Topical Terms:

182529
Fuzzy sets.

LC Class. No.: QA248.5

Dewey Class. No.: 511.322

Nonlinear integrals and their applications in data mining
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245 1 0 $a Nonlinear integrals and their applications in data mining $h [electronic resource] / $c Zhenyuan Wang, Rong Yang, Kwong-Sak Leung.
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300 $a xviii, 340 p. : $b ill. (some col.)
490 1 $a Advances in fuzzy systems ; $v v. 24
504 $a Includes bibliographical references (p. 329-336) and index.
520 $a Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.
533 $a Electronic reproduction. $b Singapore : $c World Scientific Publishing Co., $d 2010. $n System requirements: Adobe Acrobat Reader. $n Mode of access: World Wide Web. $n Available to subscribing institutions.
650 0 $a Fuzzy sets. $3 182529
650 0 $a Integrals. $3 229288
650 0 $a Fuzzy logic. $3 181981
650 0 $a Data mining. $3 184440
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