The article discusses different ways to solve problems when we are not sure about all the information. It introduces three methods to handle uncertainty in optimization: using vectors, sets, or nonlinear functions. By applying these methods, we can find solutions that work well even when we don't have all the details. The research shows that solutions found using these approaches are often the best ones for the problem, even if we don't know everything about it.