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A Parametric, second-order cone representable model of fairness for decision-making problems

Author(s)
Sundar, Kaarthik; Deka, Deepjyoti; Bent, Russell
Download11081_2024_9946_ReferencePDF.pdf (Embargoed until: 2026-04-10, 944.9Kb)
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
The article develops a parametric model of fairness called “ ε -fairness” that can be represented using a single second-order cone constraint and incorporated into existing decision-making problem formulations without impacting the complexity of solution techniques. We develop the model from the fundamental result of finite-dimensional norm equivalence in linear algebra and show that this model has a closed-form relationship to an existing metric for measuring fairness widely used in the literature. Finally, a simple case study on the optimal operation of a damaged power transmission network illustrates its effectiveness.
Date issued
2025-04-10
URI
https://hdl.handle.net/1721.1/163799
Department
MIT Energy Initiative
Journal
Optimization and Engineering
Publisher
Springer US
Citation
Sundar, K., Deka, D. & Bent, R. A Parametric, second-order cone representable model of fairness for decision-making problems. Optim Eng 26, 2065–2080 (2025).
Version: Author's final manuscript

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