We see from Proposition 11 that properties of sequences x m , y m , m ≥ 0, constructed for problem (73), (74) are rather similar to those for the periodic problem (1), (2) (in particular, the definition of functions Ξ and H is the same as in Proposition 1).
Then based on the aforeproposed models, an approach is constructed for MAGDM problems with unknown attribute and expert weights under IVIFEs.
Mathematical models are constructed for both problem specifications.
A bi-level programming static model is constructed for this problem.
In this paper, an integer programming formulation is constructed for the problem.
As a result, a chance-constrained goal programming model is constructed for the problem.
A numerical method is constructed for this problem which involves the appropriate Bakhvalov meshes on each time subinterval.
Three mathematical models are constructed for the problem, including expected value goal programming model, chance-constrained goal programming model and dependent-chance goal programming model.
The Green function is constructed for the problem and it is shown that a point source properly positioned and delayed will induce a field that cancels the unstable growing modes.
