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dc.contributor.authorLodi, Andrea
dc.contributor.authorSankaranarayanan, Sriram
dc.contributor.authorWang, Guanyi
dc.date.accessioned2023-12-15T09:27:08Z
dc.date.available2023-12-15T09:27:08Z
dc.date.issued2023-12-02
dc.identifier.issn18726860
dc.identifier.urihttp://hdl.handle.net/11718/26986
dc.description.abstractFairness is a major concern in contemporary decision problems. In these situations, the objective is to maximize fairness while preserving the efficacy of the underlying decision-making problem. This paper examines repeated decisions on problems involving multiple stakeholders and a central decision maker. Repetition of the decision-making provides additional opportunities to promote fairness while increasing the complexity from symmetry to finding solutions. This paper presents a general mathematical programming framework for the proposed fairness-over-time (FOT) decision-making problem. The framework includes a natural abstraction of how a stakeholder’s acquired utilities can be aggregated over time. In contrast with a natural, descriptive formulation, we demonstrate that if the aggregation function possesses certain basic properties, a strong reformulation can be written to remove symmetry from the problem, making it amenable to branch-and-cut solvers. Finally, we propose a particular relaxation of this reformulation that can assist in the construction of high-quality approximate solutions to the original problem and can be solved using simultaneous row and column generation techniques.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.subjectInteger programmingen_US
dc.subjectFair decision makingen_US
dc.subjectColumn generationen_US
dc.subjectRow generationen_US
dc.titleA framework for fair decision-making over time with time-invariant utilitiesen_US
dc.typeArticleen_US


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