1) multi-level fuzzy comprehensive evaluation model
多层次模糊综合评价模型
1.
In this paper,the essence of enterprise cooperation innovation risk is firstly discussed,and the index system of enterprise cooperation innovation risk is established based on it,and then the multi-level fuzzy comprehensive evaluation model is constructed by considering the characters of evaluation on enterprise cooperation innovation risk.
首先对企业合作创新风险内在本质和系统构成进行了阐述,并以此建立了企业合作创新的综合评价指标体系,进而结合企业合作创新风险评估的特点,构造了相应的多层次模糊综合评价模型,最后,通过使用实例检验了模型的有效性。
2) fuzzy-AHP comprehensive evaluation model
模糊层次综合评价模型
1.
According to the characteristics and the current situation of logistics support system,the paper designs and develops a military logistics center location evaluation system based on the fuzzy-AHP comprehensive evaluation model,introduces the model and describes the working principle and the evaluation process of each evaluation module in the system.
针对当前后勤保障体系的特点和现状,设计实现了一套基于模糊层次综合评价模型的军事物流中心选址评估系统。
3) two-stages mathematical model
多层模糊层次分析综合评价数学模型
4) fuzzy multi-level synthetic evaluation
模糊多层次综合评价
1.
To objectively evaluate and analyse the developmental state of the new & high-tech industry, the fuzzy multi-level synthetic evaluation method is used in this paper.
为客观评价分析黑龙江省高新技术产业发展的状况,借鉴以往的国内外研究成果,建立区域高新技术竞争力分析框架,采用模糊多层次综合评价方法分析黑龙江省高新技术产业发展的水平,得出结论。
5) multi-level fuzzy integrated evaluation
多层次模糊综合评价
1.
In our research,the body shape and physical quality index of junior gymnastics athletes and a multi-level fuzzy integrated evaluation model was made by references reading,questionaire,interview and mathematical statistics and computer software.
通过文献资料、问卷调查、访谈和数理统计等研究方法,对我国艺术体操初中级运动员的身体形态和身体素质选材指标进行了鉴定,并通过计算机软件工具建立多层次模糊综合评价体系模型,其结果更有利于我国艺术体操运动员的科学选材。
6) multilayer fuzzy comprehensive evaluation
多层次模糊综合评价
1.
Study of the employer risk of hydraulic engineering in construction period by multilayer fuzzy comprehensive evaluation;
水利工程施工期业主风险的多层次模糊综合评价研究
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。
参考词条