Validity of using expert judgements to inform multicriteria decision support for selecting technologies for sustainable reuse of sulfide-enriched fine coal waste: Data and calculations

This item contains the data, value function analysis and distinguishability analysis for selection of technology options for the reuse of South African sulfide-enriched fine coal waste. Due to the lack of data to inform decision support, alternative data was obtained by asking experts in minerals processing and design to fill in a decision questionnaire. 

Two excel workbooks contain the data for the overall expert group and a subset of 'high quality' experts (who also granted interviews) respectively. One of the workbooks contain the overall expert group analysis, but with standard deviations reduced to mimic random (rather than high quality) four-expert data. This was done to test whether the improvement in distinguishability was due to sampling effects or improved expert quality. The last excel workbook is an example of the decision rubrik that the experts received to fill in.

本数据集包含南非富硫化物细煤矸石再利用技术方案遴选所需的数据、价值函数分析及可区分性分析内容。由于缺乏可支撑决策制定的相关数据，研究团队通过邀请矿物加工与设计领域专家填写决策问卷的方式获取了替代数据。
本次数据集包含三份Excel工作簿，分别存储全体专家组与‘高质量’专家组（该组专家同时同意接受访谈）的相关数据。其中一份工作簿包含全体专家组的分析结果，但将标准差调整至模拟随机抽样（而非高质量专家组）的四位专家数据水平，以此检验可区分性的提升究竟源于抽样效应，还是专家质量的改善。最后一份Excel工作簿为专家填写问卷时所使用的决策评分表示例。