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Nonlinear Integrals and Their Applications in Data Mining: Advances in Fuzzy Systems - Applications & Theory S.

Autor Zhenyuan Wang, Rong Yang, Kwong-Sak Leung
en Limba Engleză Hardback – 31 aug 2010
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.
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Specificații

ISBN-13: 9789812814678
ISBN-10: 9812814671
Pagini: 360
Dimensiuni: 155 x 229 x 23 mm
Greutate: 0.66 kg
Editura: World Scientific Publishing Company
Seriile Advances in Fuzzy Systems - Applications & Theory S., Advances in Fuzzy Systems ???????????????????????? Applicati

Locul publicării:Singapore, Singapore

Descriere

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.