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{{Refimprove|date=January 2011}}In [[decision theory]], a '''Choquet integral''' is a way of measuring the expected utility of an uncertain event.  It is applied specifically to [[membership function (mathematics)|membership functions]] and [[Capacity of a set|capacities]]. In [[Imprecise probability|imprecise probability theory]], the Choquet integral is also used to calculate the lower expectation induced by a 2-monotone [[Upper and lower probabilities|lower probability]], or the upper expectation induced by a 2-alternating [[Upper and lower probabilities|upper probability]]. This integral was created by the French mathematician [[Gustave Choquet]].
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Using the Choquet integral to denote the expected utility of belief functions measured with capacities is a way to reconcile the [[Ellsberg paradox]] and the [[Allais paradox]].<ref>Chateauneuf A., Cohen M. D., [http://hal-paris1.archives-ouvertes.fr/docs/00/34/88/22/PDF/V08087.pdf "Cardinal extensions of EU model based on the Choquet integral"], Document de Travail du Centre d’Economie de la Sorbonne n° 2008.87</ref>
 
==Definition==
 
More specifically, let <math>S</math> be a set, and let <math>\mathcal{F}</math> be any collection of subsets of <math>S</math>. Consider a function <math>f : S\to \mathbb{R}</math> and a monotone [[set function]] <math>\nu : \mathcal{F}\to \mathbb{R}^+</math>.
 
Assume that <math>f</math> is measurable with respect to <math>\nu</math>, that is
 
:<math>\forall x\in\mathbb{R}\colon \{s | f (s) \geq x\}\in\mathcal{F}</math>
 
Then the Choquet integral of <math>f</math> with respect to <math>\nu</math> is defined by:
 
:<math>
(C)\int f d\nu :=
\int_{-\infty}^0
(\nu (\{s | f (s) \geq x\})-\nu(S))\, dx
+
\int^\infty_0
\nu (\{s | f (s) \geq x\})\, dx
</math>
 
where the integrals on the right-hand side are the usual [[Riemann integral]] (the integrands are integrable because they are monotone in <math>x</math>).
 
==Properties==
 
In general the Choquet integral does not satisfy additivity. More specifically, if <math>\nu</math> is not a probability measure, it may hold that
 
:<math>\int f \,d\nu + \int g \,d\nu \neq \int (f + g)\, d\nu.</math>
 
for some functions <math>f</math> and <math>g</math>.
 
The Choquet integral does satisfy the following properties.
 
===Monotonicity===
If <math>f\leq g</math> then
 
:<math>(C)\int f\, d\nu \leq (C)\int g\, d\nu</math>
 
===Positive homogeneity===
 
For all <math>\lambda\ge 0</math> it holds that
:<math>(C)\int \lambda f \,d\nu = \lambda (C)\int f\, d\nu,</math>
 
===Comonotone additivity===
 
If <math>f,g : S \rightarrow \mathbb{R}</math> are comonotone functions, that is, if for all <math>s,s' \in S</math> it holds that
:<math>(f(s) - f(s')) (g(s) - g(s')) \geq 0</math>.
then
:<math>(C)\int\, f d\nu + (C)\int g\, d\nu = (C)\int (f + g)\, d\nu.</math>
 
===Subadditivity===
 
If <math>\nu</math> is 2-alternating,{{clarify|reason=What does 2-alternating mean?|date=July 2012}} then
:<math>(C)\int\, f d\nu + (C)\int g\, d\nu \ge (C)\int (f + g)\, d\nu.</math>
 
===Superadditivity===
 
If <math>\nu</math> is 2-monotone,{{clarify|reason=What does 2-monotone mean?|date=July 2012}} then
:<math>(C)\int\, f d\nu + (C)\int g\, d\nu \le (C)\int (f + g)\, d\nu.</math>
 
==Alternative Representation==
Let <math>G</math> denote a [[cumulative distribution function]] such that <math>G^{-1}</math> is <math>d H</math> integrable. Then this following formula is often referred to as Choquet Integral:
:<math>\int_{-\infty}^\infty G^{-1}(\alpha) d H(\alpha) = -\int_{-\infty}^a H(G(x))dx+ \int_a^\infty \hat{H}(1-G(x)) dx,</math>
where <math>\hat{H}(x)=H(1)-H(1-x)</math>.
* choose <math>H(x):=x</math> to get <math>\int_0^1 G^{-1}(x)dx = E[X]</math>,
* choose <math>H(x):=1_{[\alpha,x]}</math> to get <math>\int_0^1 G^{-1}(x)dH(x)= G^{-1}(\alpha)</math>
 
== See also ==
* [[Nonlinear expectation]]
* [[Superadditivity]]
* [[Subadditivity]]
 
==Notes==
{{Reflist}}
 
== External links ==
*Gilboa I., [[David Schmeidler|Schmeidler D.]] (1992), [https://europealumni.kellogg.northwestern.edu/research/math/papers/985.pdf Additive Representations of Non-Additive Measures and the Choquet Integral], Discussion Paper n° 985...
 
[[Category:Decision theory]]
[[Category:Functional analysis]]

Latest revision as of 14:42, 1 November 2014

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