Author/Authors :
Eshaghi Gordji, M Faculty of Mathematics - Statistics and Computer Sciences - Semnan University, Semnan 35195-363, Iran , Abbaszadeh, S Department of Computer Science - Paderborn University, Paderborn, Germany , Park, C Research Institute for Natural Sciences - Hanyang University, Seoul 04763, Republic of Korea
Abstract :
The fuzzy integrals are a kind of fuzzy measures acting on fuzzy sets. They can be viewed as an average membership
value of fuzzy sets. The value of the fuzzy integral in a decision making environment where uncertainty is present
has been well established. Most of the integral inequalities studied in the fuzzy integration context normally consider
conditions such as monotonicity or comonotonicity. In this paper, we are trying to extend the fuzzy integrals to the
concept of concavity. It is shown that the Hermite-Hadamard integral inequality for concave functions is not satised in
the case of fuzzy integrals. We propose upper and lower bounds on the fuzzy integral of concave functions. We present
a geometric interpretation and some examples in the framework of the Lebesgue measure to illustrate the results.
Keywords :
Supergradient , Concave function , Hermite-Hadamard inequality , Sugeno fuzzy integral