摘要
制造业作为我国经济的支柱型产业,对我国的经济发展起到了很大的作用。针对具有直觉模糊不确定的语言变量的区间值的数据进行分析,从灰色关联度分析的角度出发,减少评价者由于主观因素等对评价结果的影响。通过对制造企业的实际情况进行研究,运用灰色关联度分析的方法对于制造企业的发展选取最佳的合作方案与合作对象,并证明了研究具有可行性和科学性。
As the pillar industry of our economy, manufacturing industry has played a great role in the economic development of our country. Therefore, based on the analysis of interval value data of language variables with intuitionistic fuzzy uncertainty, from the point of view of grey correlation analysis, this paper reduces the influence of subjective factors on the evaluation results. Through the study of the actual situation of manufacturing enterprises, the method of grey correlation degree analysis is used to select the best cooperation scheme and cooperation object for the development of manufacturing enterprises, and it is proved that the research in this paper is feasible and scientific.
作者
初铭畅
马静
CHU Ming-chang;MA Jing(School of Economics,Liaoning University of Technology,Jinzhou 121001,China)
出处
《辽宁工业大学学报(自然科学版)》
2018年第4期269-272,共4页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
国家社科基金项目(17CGL007)
辽宁省社科基金项目(L17BJL012
L17BJL013
L17AGL014)
辽宁科技厅联合基金项目(201602381)
关键词
灰色关联度分析
制造业企业
直觉不确定的语言变量
grey relational analysis
manufacturing enterprises
linguistic variables with intuitive uncertainty