Most research on bilevel linear programming problem  is focused on its deterministic form, in which the coefficients and decision variables in the objective functions and constraints are assumed to be crisp. In fact, due to inaccurate information, it is difficult to know exactly values of coefficients that used to construct a bilevel model. The interval set theory is suitable for describing and...

In this paper, we considered a Stochastic Interval-Valued Linear Fractional Programming problem(SIVLFP). In this problem, the coefficients and scalars in the objective function are fractional-interval, and technological coefficients and the quantities on the right side of the constraints were random variables with the specific distribution. Here we changed a Stochastic Interval-Valued Fractiona...

In this research a new system identification algorithm is presented for obtaining an optimal set of mathematical models with perturbed coefficients, then applied practically by “On Line System Identification Circuit”, based on real time speed response data permanent magnet DC motor. Such represents the physical plant against all variation which may exist in its parameters, and forms strong foun...