Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2017.Includes bibliographical references (leaves 64-69).In this study, we develop decision support tools for policy makers that will help them
make choices among a set of allocation alternatives. We assume that alternatives are
evaluated based on their benefits to different users and that there are multiple benefit
(output) types to consider. We assume that the policy maker has both efficiency (maximizing
total output) and equity (distributing outputs across different users as fair as
possible) concerns. This problem is a multicriteria decision making problem where the
alternatives are represented with matrices rather than vectors.
We develop interactive algorithms that guide a policy maker to her most preferred
solution (a set of most preferred solutions), 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.by Sema Nur Kaynar Keleş.M.S