Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory, 24). To get started finding Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory, 24), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory, 24)
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory, 24). To get started finding Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory, 24), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.