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OverviewRegarding 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. Full Product DetailsAuthor: Zhenyuan Wang (Univ Of Nebraska At Omaha, Usa) , Rong Yang (Shenzhen Univ, China) , Kwong-sak Leung (Chinese Univ Of Hong Kong, Hong Kong)Publisher: World Scientific Publishing Co Pte Ltd Imprint: World Scientific Publishing Co Pte Ltd Volume: 24 Dimensions: Width: 15.50cm , Height: 2.30cm , Length: 22.90cm Weight: 0.658kg ISBN: 9789812814678ISBN 10: 9812814671 Pages: 360 Publication Date: 10 June 2010 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |