混合决策工作流程的信息理论成本效益分析
Philip Beaucamp1, Harvey Maylor2, Min Chen1
1Department of Engineering Science, University of Oxford, Oxford OX1 3QG, UK.
Entropy (Basel, Switzerland)
|August 28, 2025
概括
本研究引入了一种新的定量方法,用于分析商业和金融领域的混合决策工作流程. 它使用信息理论成本效益分析来优化基于数据的流程,并了解权衡.
科学领域:
- 业务分析
- 财政管理
- 信息理论
背景情况:
- 数据驱动的决策对于企业和金融的组织成长至关重要.
- 目前的方法缺乏量化方法来分析混合工作流程的成本效益.
- 确定人类和机器过程之间的权衡以及量化偏差仍然是一个挑战.
研究的目的:
- 开发一种分析商业和金融领域混合决策工作流程的方法.
- 将信息理论概念转化为实际的成本效益分析框架.
- 量化估计这些工作流程中的单个流程的成本效益.
主要方法:
- 结合了信息理论方法和工程方法 (工作流分解).
- 使用信息理论措施进行量化成本效益估计.
- 通过三个不同的案例研究来应用该方法.
主要成果:
- 证明了拟议的信息理论成本效益分析方法的可行性.
- 案例研究涵盖了统计算法,与人类知识的不完整信息,以及认知偏见.
- 为分析混合决策工作流提供了定量基础.
结论:
- 拟议的方法提供了一种系统和定量方法,以优化基于数据的决策工作流程.
- 这项工作代表了计算机辅助优化在商业和金融领域的早期但重要的一步.
- 能够更好地理解混合人机过程中的权衡和偏见.
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