Wątróbski Jarosław, Jankowski Jarosław, Ziemba Paweł, Karczmarczyk Artur, Zioło Magdalena
Faculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101, Szczecin, Poland.
Faculty of Computer Science and Information Systems, West Pomeranian University of Technology, Zolnierska 49, 71-210 Szczecin, Poland.
Data Brief. 2018 Dec 12;22:639-642. doi: 10.1016/j.dib.2018.12.015. eCollection 2019 Feb.
This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels. The impact of uncertainty in decision-making problem description on MCDA method selection is studied. 450,000 possible descriptions of a decision problem were studied, resulting in sets of rules which can serve as input to uncertainty-aware MCDA method selection decision support systems. Comprehensive analyses of the obtained rule sets are provided. An exemplary decision support system based on the presented data was created and is available at http://www.mcda.it. Moreover the technical documentation needed to create and expand such system is provided in this data article. The data and system can be easily extended and the authors invite all researchers to contribute.
本文描述了针对9个决策问题特征（分为3个层次）对56种多标准决策分析（MCDA）方法的分析。研究了决策问题描述中的不确定性对MCDA方法选择的影响。研究了45万个决策问题的可能描述，得出了可作为不确定性感知MCDA方法选择决策支持系统输入的规则集。对获得的规则集进行了全面分析。基于所呈现的数据创建了一个示例性决策支持系统，可在http://www.mcda.it上获取。此外，本文还提供了创建和扩展此类系统所需的技术文档。这些数据和系统可以轻松扩展，作者邀请所有研究人员参与贡献。
