The article discusses how to choose the best solution from different options in a type of math problem called linear multi-objective programming. The researchers define a dominant set of efficient solutions and explore its properties. They also look at non-inferior vertexes in this set. By using the concept of Pareto efficiency, they identify the most effective solutions. An example is provided to show how this method works in practice.