Data envelopment analysis for decision support
Data envelopment analysis for decision support
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DOI：
10.1108/02635570610641004
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
J. Seydel
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文献类型：
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作者：
J. Seydel
目的-提供决策者（DM）解决问题的选择，涉及有限的替代集和多个标准，标准加权是困难或不可能的。设计/方法/途径-多标准决策问题进行了描述，并典型的描述性（而不是规定性的）工具，数据包络分析（DEA），进行了总结，沿着一个假设但典型的多标准决策（供应商选择）的例子。DEA方法被修改为纳入权重约束，并用于排名可用的供应商。结果进行比较，从使用一个流行的多准则决策工具（SMART）和天真的平均approach.Findings -修改后的DEA方法产生的结果非常相似，使用SMART产生的结果，这些结果是相当令人满意的，尽管事实上，DEA需要较少的参与DM的一部分。此外，避免了非显性最优（DEA可能的异常），并且通常是单一的替代方案，...
Purpose – To provide decision makers (DMs) an option for addressing problems involving finite alternative sets and multiple criteria, where criterion weighting is difficult or impossible.Design/methodology/approach – The multicriteria decision problem is described, and a typically descriptive (rather than prescriptive) tool, data envelopment analysis (DEA), is summarized, along with a hypothetical but typical example of a multicriteria decision (vendor selection). The DEA approach is modified to incorporate weight constraints and is used to rank the available vendors. Results are compared with those from the use of a popular multicriteria decision tool (SMART) and a naive averaging approach.Findings – The modified DEA approach yields results very similar to those produced using SMART; these results are quite satisfactory in spite of the fact that DEA requires less involvement on the part of the DM. In addition, non‐dominant optima (a possible anomaly with DEA) are avoided, and often a single alternative, ...