Algorithm 1: Sugeno integral algorithm.

Input:n represents the sources number; {x1, x2, …, xn} denotes the information and the fuzzy densities of the information sources are M1, M2, …, Mn ∈ (0,1).

Output: Sugeno integral h(σ(x1), σ(x2), …, σ(xn)).

1: Estimate λ using the equation $$f\left(\lambda \right)=\left\{{\displaystyle \prod }_{i=1}^n\left(1+M_i\left(x_i\right)\lambda \right)\right\}-\left(1+\lambda \right)$$

2: The variable xi must be fuzzify using. $$D_i=\left\{\left(x_{,}{\mu }_{Di}\left(x\right)\right)|x ϵ X\right\}, \mu \left\{D_i\right\}\left(x\right)\in [0,1]$$

3: Reordered with base on D(xi) all the Mi in descending order.

4: Determine the FM for all Di using Equation (4).

5: Calculate Sugeno integral with Equation (7).

6: OUTPUT Sugeno integral.