An iterative algorithm for fuzzy quadratic programming problems

This paper describes an interactive algorithm for fuzzy non linear programming problems. Based on some general results, an iterative algorithm is proposed, which modifies the admissible region in such a way as to increase at each step the global performance. The algorithm can be applied if a crisp sub-problem obtained by the original fuzzy one is solvable. This is the case of quadratic-linear target function with linear constraints. In this case, the numerical simulation showed good convergence property of the proposed procedure.