Math 2.0

Measure and integration Definition

Choquet integral

Builds on Fuzzy measureMeasurable spaceMeasurable function

Definition

Let (X,ℱ)(X, \mathcal{F}) be a measurable space, and let ν ⁣:ℱ→[0,∞)\nu \colon \mathcal{F} \to [0, \infty) be a fuzzy measure. Let f ⁣:X→[0,∞)f \colon X \to [0, \infty) be measurable. The Choquet integral of ff with respect to ν\nu is (C) ⁣∫f dν=∫0∞ν({x∈X:f(x)≥t}) dt.(C)\!\int f \, d\nu = \int_0^\infty \nu(\set{x \in X : f(x) \ge t}) \, dt. The function t↦ν({f≥t})t \mapsto \nu(\set{f \ge t}) is non-increasing, so the right side is a well-defined Lebesgue integral with value in [0,∞][0, \infty].

Remarks

If ff takes the values 0=a0<a1<⋯<ak0 = a_0 < a_1 < \cdots < a_k, then (C) ⁣∫f dν=∑i=1k(ai−ai−1) ν({f≥ai})(C)\!\int f \, d\nu = \sum_{i=1}^{k} (a_i - a_{i-1}) \, \nu(\set{f \ge a_i}). If ν\nu is a measure, the Choquet integral equals the Lebesgue integral, by the layer cake representation. Example: let X={1,2}X = \set{1, 2} with all subsets, ν({1})=ν({2})=0\nu(\set{1}) = \nu(\set{2}) = 0 and ν(X)=1\nu(X) = 1. Then ν\nu is monotone with ν(∅)=0\nu(\emptyset) = 0, and the indicators 1{1}1_{\set{1}} and 1{2}1_{\set{2}} have Choquet integral 00. Their sum 1X1_X has Choquet integral ∫01ν(X) dt=1\int_0^1 \nu(X) \, dt = 1, so the integral is not additive. Non-example: if ff is not measurable, some set {f≥t}\set{f \ge t} lies outside ℱ\mathcal{F}, so ν\nu is not defined on it and the formula makes no sense. Some authors use {f>t}\set{f > t}; this changes the integrand at only countably many tt, so the integral is the same.

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  1. Fuzzy measure concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Choquet_integral, Definition
About this page
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Kinddefinition
WritingW0 stub
MSC28E10, 28A25
DefinesChoquet integral
UsesFuzzy measure, Measurable space, Measurable function
Changed2 November 2026

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