A dual approach to solve fuzzy quadratic programming problems

Although quadratic programming can be defined as a specific class of non-linear programming, it can also be used to generalize linear programming. Therefore, one can find many applications in quadratic in real world problems. Inaccuracies are also found in a natural way in real life situations that require realistic solutions. Fuzzy logic has to deal with the uncertainties inherent in this situation. The initiative to shape the inaccuracies in real life optimization problems is applied in an increasing variety of practical fields. Knowing the importance of this problem, the purpose of this work is to present a new dual approach in fuzzy environment. It solves quadratic programming problems with uncertain order relation in the set of constraints. The approach proposal is implemented in two theoretical numerical examples, which show their efficiency.