Abstract
The fuzzy integrals are a kind of fuzzy measures acting on fuzzy sets. They can be viewed as an average membershipvalue of fuzzy sets. The value of the fuzzy integral in a decision making environment where uncertainty is presenthas been well established. Most of the integral inequalities studied in the fuzzy integration context normally considerconditions such as monotonicity or comonotonicity. In this paper, we are trying to extend the fuzzy integrals to theconcept of concavity. It is shown that the Hermite-Hadamard integral inequality for concave functions is not satisfied inthe case of fuzzy integrals. We propose upper and lower bounds on the fuzzy integral of concave functions. We presenta geometric interpretation and some examples in the framework of the Lebesgue measure to illustrate the results.
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