Nonlinear integrals and their applications in data mining / Zhenyuan Wang, Rong Yang, Kwong-Sak Leung.

Format:

Book

Author/Creator:

Wang, Zhenyuan.

Contributor:

Yang, Rong.

Leung, Kwong Sak, 1955-

Series:

Advances in fuzzy systems ; v. 24.

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

Language:

English

Subjects (All):

Fuzzy sets.

Integrals.

Fuzzy logic.

Data mining.

Physical Description:

1 online resource (360 p.)

Edition:

1st ed.

Place of Publication:

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

Language Note:

English

Summary:

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

Contents:

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

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786613143525

9781283143523

1283143526

9789812814685

981281468X

OCLC:

738438068