摘要
针对目前企业模糊综合评价无法解决模糊识别、动态可变性及单一权重不科学的问题,提出组合权重优化的企业财务绩效可变模糊综合评价新模型.首先,建立企业财务绩效综合评价指标体系;然后,获取指标数据并通过主客观权重融合的方法优化指标权重;最后,基于可变模糊集理论构建企业财务绩效可变模糊综合评价新模型.以B企业为例,应用新模型对B企业财务状况进行评价。结果表明:2012-2015年,B企业财务评价等级分别为Ⅲ—Ⅳ、Ⅱ-Ⅲ、Ⅱ—Ⅲ、Ⅲ—Ⅳ,符合B企业实际运营发展状况,证明了新模型的科学合理性.新模型不仅对企业财务绩效评价新方法进行了考察,而且拓展了可变模糊集理论的应用领域.
In order to solve the problem that the fuzzy comprehensive evaluation cannot solve the problems of fuzzy identification dynamic variability and single weight unscientific, this paper puts forward a fuzzy comprehensive evaluation model. First of all, the establishment of enterprise financial performance evaluation index system; then, obtains the index data and optimize the index weight by the subjective and objective weight fusion; finally, the variable fuzzy set theory to construct a fuzzy comprehensive evaluation model based on variable corporate financial performance. Taking B company as an example, the new model is applied to evaluate the financial situation of B company. The results show that: in 2012-2015, B enterprise financial evaluation levels are Ⅱ-Ⅲ, Ⅱ,Ⅱ, Ⅲ, basically in line with the actual operation of the B enterprise development situation. The scientific rationality of the new model was demonstrated. The application of the new model not only provides a reference for future research on enterprise performance evaluation, but also expands the application field of variable fuzzy set theory.
出处
《数学的实践与认识》
北大核心
2018年第3期64-74,共11页
Mathematics in Practice and Theory
基金
国家自然科学基金(61364016,71761027)
中国博士后科学基金(2015T80990)
云南省应用基础研究计划项目(2014FB136)
博士后课题中(2014M550473)
世界银行CRESP项目(TF012536)
关键词
可变模糊集理论
模糊识别
动态可变
组合权重
财务绩效
fuzzy recognition
dynamic variable
variable fuzzy sets
combination weight
financial performance