提高基于AHP的专家判断的一致性:一种新方法及其在交互式工具中的实施
Shimon Frish1, Irit Talmor2, Omer Hadar3
1Faculty of Civil and Environmental Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
MethodsX
|June 9, 2025
概括
本研究介绍了一种交互式工具,它使用一个贪的算法来提高使用分析层次过程 (AHP) 的专家决策的一致性. 该软件精制判断以达到一致性比率值,提高复杂评估的可靠性.
科学领域:
- 决策科学 决策科学
- 运营研究 运营研究
- 计算社会科学 计算社会科学
背景情况:
- 分析层次过程 (AHP) 有助于做出复杂的决策,但实现所需的一致性比率 (CR) 是具有挑战性的.
- 在AHP中不一致的专家判断可能会损害决策结果的可靠性.
- 现有的方法可能难以完善专家评估,同时保持原始偏好.
研究的目的:
- 介绍一个新的交互式软件工具,以提高AHP内的专家判断的逻辑连贯性.
- 为了应对在对对比中实现预先确定的一致性比率值的挑战.
- 在复杂的决策场景中提高专家评估的可靠性和一致性.
主要方法:
- 开发一个交互式软件工具,使用一个贪的算法来实时改进一致性.
- 使用在n x n个互惠偏好矩阵中记录的对对比来计算一致性比率 (CR).
- 实施一个代的贪算法,通过在CR超过10%时只调整不变的对对比,强制执行最小的干预.
主要成果:
- 交互工具在边界划分案例研究中成功将CR值降低到所需的最低值.
- 该软件在专家评估的一致性和可靠性方面显著改善.
- 贪的算法促进了微小的,可追溯的调整,保持了原始专家判断的完整性.
结论:
- 开发的交互工具有效地提高了AHP的专家判断的一致性.
- 该软件为提高复杂决策过程的可靠性提供了实用解决方案.
- 未来的工作可能涉及将复杂的标准和群组决策支持纳入集群.
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