1.

Record Nr.

UNINA9910456219503321

Autore

Wang Zhenyuan

Titolo

Nonlinear integrals and their applications in data mining [[electronic resource] /] / Zhenyuan Wang, Rong Yang, Kwong-Sak Leung

Pubbl/distr/stampa

Singapore ; ; Hackensack, N.J., : World Scientific, c2010

ISBN

1-283-14352-6

9786613143525

981-281-468-X

Descrizione fisica

1 online resource (360 p.)

Collana

Advances in fuzzy systems : applications and theory ; ; v. 17 [i.e. 24]

Altri autori (Persone)

YangRong

LeungKwong Sak <1955->

Disciplina

511.313

Soggetti

Fuzzy sets

Integrals

Fuzzy logic

Data mining

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Preface; Contents; List of Tables; List of Figures; Chapter 1: Introduction; Chapter 2: Basic Knowledge on Classical Sets; Chapter 3: Fuzzy Sets; Chapter 4: Set Functions; Chapter 5: Integrations; Chapter 6: Information Fusion; Chapter 7: Optimization and Soft Computing; Chapter 8: Identification of Set Functions; Chapter 9: Multiregression Based on Nonlinear Integrals; Chapter 10: Classifications Based on Nonlinear Integrals; Chapter 11: Data Mining with Fuzzy Data; Bibliography; Index

Sommario/riassunto

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