Equitable decision making approaches over allocations of multiple benefits to multiple entities

We develop interactive algorithms that guide a policy maker to her most preferred solution, which are based on utility additive (UTA) and convex cone methods. Our computational experiments demonstrate the satisfactory performance of the algorithms. We believe that such decision support tools may be of great use in practice and help in moving towards fair and efficient allocation decisions.