Andreas Schwung

Unsupervised Fuzzy Multi-Objective Optimization for Complex Decision-Making Problems

Many real-world optimization problems involve multiple competing objectives, where the exact weighting is often difficult to define. Traditional fuzzy logic approaches for decision-making, while useful for handling uncertainty, require evaluating all combinations to find the optimal solution. For instance, in logistica...