摘要
借鉴数据包络分析(DEA)交叉评价的思想,首先将评价系统内的指标分为量化指标和非量化指标,在定义平均交叉效率、最小交叉效率和最大交叉效率概念的基础上,采用交叉评价方法对量化数据进行处理;然后对最小交叉效率值、平均交叉效率值和最大交叉效率值进行模糊化,模糊化之后将其作为模糊综合评价的指标与非量化指标一起进行二次评价,以建立基于DEA交叉评价的模糊综合评价模型;最后通过评价实例验证了所提出的模型在处理客观数据与主观因素并存的多属性决策中的客观性和全面性.
Based on the idea of data envelopment analysis(DEA) cross-evaluation for reference, this paper processes the quantitative data using cross-evaluation method(CEM) on the basis of the concept of "average cross-efficiency evaluation", "minimum cross-efficiency evaluation", "maximum cross-efficiency evaluation". CEM can work as the index of fuzzy comprehensive evaluation for second evaluation. Based on cross-evaluation, fuzzy comprehensive evaluation model in environmental uncertainty is also constructed to reflect the reality system more objectively and comprehensively.
出处
《控制与决策》
EI
CSCD
北大核心
2012年第4期575-578,583,共5页
Control and Decision
基金
国家自然科学基金项目(71172148)
建设部基金项目(2011-R3-18)
关键词
交叉评价
模糊综合评价
数据包络分析
cross-evaluation fuzzy comprehensive assessment
data envelopment analysis