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Nonlinear Integrals And Their Applications In Data Mining Advances In Fuzzy Systemsapplications And Theory Vol 24 Advances In Fuzzy Systemss Applications And Theory 1st Edition Zhenyuan Wang

Name: Nonlinear Integrals And Their Applications In Data Mining Advances In Fuzzy Systemsapplications And Theory Vol 24 Advances In Fuzzy Systemss Applications And Theory 1st Edition Zhenyuan Wang
SKU: BELL-1913796
Price: 31.00 USD
Availability: InStock
Rating: 5 (108 reviews)

SKU: BELL-1913796

Nonlinear Integrals And Their Applications In Data Mining Advances In Fuzzy Systemsapplications And Theory Vol 24 Advances In Fuzzy Systemss Applications And Theory 1st Edition Zhenyuan Wang

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

108 reviews

Nonlinear Integrals And Their Applications In Data Mining Advances In Fuzzy Systemsapplications And Theory Vol 24 Advances In Fuzzy Systemss Applications And Theory 1st Edition Zhenyuan Wang instant download after payment.

Publisher: World Scientific Publishing Company

File Extension: PDF

File size: 5.86 MB

Pages: 359

Author: Zhenyuan Wang, Rong Yang, Kwong-Sak Leung

ISBN: 9789812814678, 9812814671

Language: English

Year: 2010

Edition: 1

Product desciption

Nonlinear Integrals And Their Applications In Data Mining Advances In Fuzzy Systemsapplications And Theory Vol 24 Advances In Fuzzy Systemss Applications And Theory 1st Edition Zhenyuan Wang by Zhenyuan Wang, Rong Yang, Kwong-sak Leung 9789812814678, 9812814671 instant download after payment.

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.