five

Data for: Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement

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NIAID Data Ecosystem2026-03-11 收录
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资源简介:
The historical audit data for eight attributes was organized by the three-level interval discretization method: the top third, middle third, and bottom third for the full range of each attribute. Based on the suppliers’ performance, the levels of each attribute were separated into “H (i.e., 1),” “M (i.e.,2),” and “L(i.e., 3)”.

针对8个属性的历史审计数据采用三级区间离散化方法进行组织:将每个属性的全值域范围划分为上三分位区间、中三分位区间与下三分位区间。基于供应商绩效表现,将各属性的等级划分为"H(即1)"、"M(即2)"与"L(即3)"。
创建时间:
2019-09-16
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