Investigation of boundary points and the design of parametric optimization methods in data envelopment analysis

A family of parametric optimization methods is proposed for efficiency analysis of complex systems. This approach reduces the efficiency analysis of complex systems to a generalization and investigation of well-known functions in mathematical economics. The correspondence between DEA-based optimality, Pareto optimality, and the boundary of the production possibility set is established.