Solving mathematical programs with fuzzy equilibrium constraints

This work deals with mathematical programs with fuzzy equilibrium constraints. It shows that solving the fuzzy MPEC is equivalent to solving a fuzzy complementarity constrained optimization problem. By using the tolerance approach, we show that the fuzzy complementarity constrained optimization problem can be converted to a regular nonlinear programming problem. A new smoothing approach based on entropic regularization is developed for solving the resulting optimization problem. Numerical examples are also included to illustrate the solution procedure.