基于模糊关联算法在财务指标分析系统中的应用

Application of Fuzzy Correlation Algorithm in Financial Indicators Analysis System

提出基于模糊关联的财务指标分析系统,其思想是在明确财务指标分析系统的需求下,将二阶段分类算法引入到系统中,提取并分类财务指标的属性特征,借鉴模糊关联思想计算各类财务指标权重等级向量并设立目标函数,以该函数为依据进行全局最优解,最终组建财务指标识别的模糊中心矩阵,由此构建财务指标优化分析系统。仿真实验证明,基于模糊关联算法的财务指标分析系统分析精度高,能够为企业领导者的决策提供科学依据。

This paper proposes a financial indicator analysis system based on fuzzy association.Firstly,clarify the requirements of financial index analysis system,the two-stage classification algorithm is introduced into the system design process,the attribute characteristics of financial indicators are extracted,and the theory of fuzzy association is used for calculation.Various financial indicator weights are graded vector,and the objective function is set.The global optimal solution is based on the function,and the fuzzy central matrix of financial indicator identification is established,thus constructing the financial index optimization analysis system.The experimental simulation proves that the financial analysis system based on fuzzy correlation algorithm has high precision and can provide scientific basis for decision-making of enterprise leaders.