Choquet integral
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In decision theory, a Choquet integral is a way of measuring the expected utility of an uncertain event. It is applied specifically to capacities. In imprecise probability theory, the Choquet integral is also used to calculate the lower expectation induced by a 2-monotone lower probability, or the upper expectation induced by a 2-alternating upper probability. This integral was created by the French mathematician Gustave Choquet.
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.[citation needed]
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[edit] Definition
More specifically, let S be a set, and let be any collection of subsets of S. Consider a function and a set function .
Assume that f is measurable with respect to ν, that is
Then the Choquet integral of f with respect to ν is defined by:
where the integrals on the right-hand side are the usual Riemann integral (the integrands are integrable because they are monotone in x).
[edit] Properties
In general the Choquet integral does not satisfy additivity. More specifically, if ν is not a probability measure, it may hold that
for some functions f and g.
The Choquet integral does satisfy the following properties.
[edit] Monotonicity
If then
[edit] Positive homogeneity
For all it holds that
[edit] Comonotone additivity
If are comonotone functions, that is, if for all it holds that
- .
then
[edit] Subadditivity
If ν is 2-alternating, then
[edit] Superadditivity
If ν is 2-monotone, then