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改进交叉评价DEA在模糊综合评价中的应用
引用本文:谈晓勇,龚科.改进交叉评价DEA在模糊综合评价中的应用[J].数学的实践与认识,2014(19).
作者姓名:谈晓勇  龚科
作者单位:重庆交通大学管理学院;
基金项目:国家自然科学基金(71301180);重庆市科委自然科学基金计划资助项目(cstcjjA00021);重庆市教委科技项目(KJ120427)
摘    要:借鉴对抗型交叉评价的思想,首先利用对抗型交叉评价DEA(数据包络分析)模型对模糊综合评价的量化指标进行评价,三角模糊化后将其作为模糊综合评价量化指标的输入与非量化指标数据合成进行二次评价,以此建构了一种基于对抗型交叉评价DEA的模糊综合评价方法.方法可从根本上解决已有评价方法中模糊量化结果的不确定性问题,使客观数据与主观因素并存的多属性决策更加可靠.最后,通过算例说明了方法的应用.

关 键 词:对抗型交叉评价  模糊综合评价  数据包络分析

Fuzzy Comprehensive Evaluation Based on Modified Cross-evaluation DEA
Abstract:Based on the idea of aggressive cross-evaluation,processing the quantitative indicators using aggressive cross-evaluation DEA(Data Envelopment Analysis) for the first evaluation,taking its results as the input of the quantitative indicators by a triangular fuzzy way for second evaluation together with the non-quantifiable data,a method of fuzzy comprehensive evaluation based on aggressive cross-evaluation DEA is proposed.Based on aggressive cross-evaluation,the method can fundamentally eliminate the uncertainty of the result in DEA fuzzy quantitative evaluation existing in other method and make multiple attribute decision making results including the objective data and subjective factors more reliable.Finally,an example is given to illustrate the application of the method.
Keywords:aggressive cross-evaluation  fuzzy comprehensive assessment  data envelopment analysis
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