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Titlebook: Non-Additive Measure and Integral; Dieter Denneberg Book 1994 Springer Science+Business Media Dordrecht 1994 artificial intelligence.bound

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书目名称Non-Additive Measure and Integral
编辑Dieter Denneberg
视频video
丛书名称Theory and Decision Library B
图书封面Titlebook: Non-Additive Measure and Integral;  Dieter Denneberg Book 1994 Springer Science+Business Media Dordrecht 1994 artificial intelligence.bound
描述.Non-Additive Measure and Integral. is the firstsystematic approach to the subject. Much of the additive theory(convergence theorems, Lebesgue spaces, representation theorems) isgeneralized, at least for submodular measures which are characterizedby having a subadditive integral. The theory is of interest forapplications to economic decision theory (decisions under risk anduncertainty), to statistics (including belief functions, fuzzymeasures) to cooperative game theory, artificial intelligence,insurance, etc. ..Non-Additive Measure and Integral. collects the results ofscattered and often isolated approaches to non-additive measures andtheir integrals which originate in pure mathematics, potential theory,statistics, game theory, economic decision theory and other fields ofapplication. It unifies, simplifies and generalizes known results andsupplements the theory with new results, thus providing a sound basisfor applications and further research in this growing field ofincreasing interest. It also contains fundamental results ofsigma-additive and finitely additive measure and integration theoryand sheds new light on additive theory..Non-Additive Measureand. .Integral. employs distri
出版日期Book 1994
关键词artificial intelligence; bounded mean oscillation; decision theory; game theory; linear optimization; mat
版次1
doihttps://doi.org/10.1007/978-94-017-2434-0
isbn_softcover978-90-481-4404-4
isbn_ebook978-94-017-2434-0
copyrightSpringer Science+Business Media Dordrecht 1994
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Construction of Measures using Topology,ciently many compact sets allows to construct broad classes of measures starting with finitely additive set functions which are regular, i.e. compatible with the given topology. On the real line, essentially these are the Lebesgue-Stieltjes measures. The main idea of this construction generalizes to
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Distribution Functions, Measurability and Comonotonicity of Functions, the next chapter, the integral. No measurability requirements have to be imposed on the function if the set function is defined on the whole power set. For many questions this can be supposed but for some topics (Radon-Nikodym-Theorem, conditional expectation) set functions with restricted domains
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The Symmetric Integral,tions. The alternative integral to be defined here, coincides with the usual integral in all cases of additive set functions. For nonadditive set functions our old integral and the new one differ in two relevant points: asymmetry is replaced by symmetry and comonotonic additivity is lost for functio
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Nullfunctions and the Lebesgue Spaces Lp, in the σ-additive theory) there are functions, not identically zero, having norm nought. Those are the nullfunctions, we start with. Then the Lebesgue space ..(.) of a submodular . is shown to be a normed linear space and to be a Banach space if . is continuous from below. These results translate t
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Densities and the Radon-Nikodym Theorem,is absolutely continuous with respect to ., . ≪ .. In case of measures the condition . ≪ . is also sufficient for . having a density. This is the important Radon-Nikodym theorem. Closely related to these questions is the problem of representing a given functional on a function space through an integ
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