用幸福感衡量公平性，实现高效可扩展的公平决策优化。
Happiness as a Measure of Fairness
- 以幸福感作为各群体收益的度量，构建新公平框架
- 仅需求解线性规划即可获得最优公平后处理策略
- 统一并扩展多种经典公平定义，适合实际应用
本文提出一种基于幸福感的新公平性框架，将每个群体从决策结果中获得的效用视为幸福感的度量。通过这一直观视角，不仅实现了更以人为本的公平分析，还保持了数学严谨性：计算最优公平后处理策略仅需求解一个线性规划问题，因此方法高效且可扩展，兼容现有优化工具。该框架统一并扩展了多个经典公平定义，实证结果表明其在多种场景下均展现出显著的实用性。
原文摘要 · Abstract (English)
In this paper, we propose a novel fairness framework grounded in the concept of happiness, a measure of the utility each group gains fromdecisionoutcomes. Bycapturingfairness through this intuitive lens, we not only offer a more human-centered approach, but also one that is mathematically rigorous: In order to compute the optimal, fair post-processing strategy, only a linear program needs to be solved. This makes our method both efficient and scalable with existing optimization tools. Furthermore, it unifies and extends several well-known fairness definitions, and our empirical results highlight its practical strengths across diverse scenarios.
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