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1)  Triangular fuzzy comprehensive evaluation
三角模糊综合评价法
2)  Triangular Fuzzy Number Evaluation
三角模糊数综合评价
3)  triangle fuzzy comprehensive evaluation
三角模糊综合评价
1.
Representative formation is evaluated by triangle fuzzy comprehensive evaluation model.
采用三角模糊综合评价模型对典型方案队形进行评价优选,同时将DEA分析理论应用于编队队形的优选问题研究,构建了合适的DEA模型,分析了典型方案队形的相对有效性。
4)  Fuzzy Comprehensive Evaluation
模糊综合评价法
1.
Application of Fuzzy Comprehensive Evaluation in OTC Brand Value Evaluation;
模糊综合评价法在OTC品牌价值评估中的应用
2.
Study on Operation Risk Management Based on Fuzzy Comprehensive Evaluation;
基于模糊综合评价法的操作风险管理研究
3.
The application of fuzzy comprehensive evaluation(FCE) in efficiency evaluation of general land use planning implementation——A case study in Lanzhou City
模糊综合评价法在土地利用总体规划实施效益评价中的应用——以兰州市为例
5)  fuzzy comprehensive evaluation method
模糊综合评价法
1.
Application of fuzzy comprehensive evaluation method in road transportation enterprises safety evaluation;
模糊综合评价法在道路运输企业安全评价中的应用
2.
The evaluation of enterprises social capital core competence based on the fuzzy comprehensive evaluation method;
基于模糊综合评价法的企业社会资本核心竞争力评价
3.
Ahp and Fuzzy Comprehensive Evaluation Method for Urban Logistics:Taking Cities in Jiangsu as Example
基于层次分析法和模糊综合评价法的城市物流竞争力研究——基于江苏城市的实证
6)  fuzzy comprehensive assessment
模糊综合评价法
1.
The application of fuzzy comprehensive assessment in landscaping water quality
模糊综合评价法在景观水体水质评价中的应用
2.
Since most fuzzy comprehensive assessment is linear,which cannot reflect this kind of significant influence,a more general model has been established to reflect the significant effect of some dominant indicators,and makes weighted average method .
模糊综合评价法是一种重要的评价方法。
3.
The fuzzy comprehensive assessment is adopted to set up the method of the said assessment and to examine the assessment method of the existing conditions of the said infrastructure in Minhang District, Shanghai.
应用模糊综合评价法建立城市道路安全基础设施评价方法,并对上海闵行区城市道路安全基础设施现状进行了评价方法检验。
补充资料:模糊评价方法
模糊评价就是利用模糊数学的方法,对受到多个因素影响的事物,按照一定的评判标准,给出事物获得某个评语的可能性。将模糊评价方法用于信息系统效益评价,可以综合考虑影响信息系统的众多因素,根据各因素的重要程度和对它的评价结果,把原来的定性评价定量化, 较好地处理信息系统多因素、模糊性以及主观判断等问题。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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