Engineers often face complex problems with multiple goals to optimize. A method called Pareto analysis helps find the best solutions by considering trade-offs. However, current methods don't support making decisions in stages or combining optimal solutions. A new algebraic approach has been developed to address these limitations. This approach allows for making incremental design choices and combining sets of optimal solutions. The algebra helps understand how to manipulate sets of optimal solutions efficiently.