A Prosperity Evaluation Model for Small and Micro Enterprises Based on Data Mining Technology
Traditional small and micro enterprises only analyze the original data of the enterprise's prosperity evaluation,without deeply dividing the weight indicators of the prosperity,resulting in errors in the model construction and professional evaluation results of the enterprise's prosperity.Therefore,a model for evaluating the prosperity of small and micro enterprises based on data mining technology is proposed.Firstly,based on data mining technology,collect historical data of each enterprise,process the data,and divide it into evaluation indicators.The Analytic Hierarchy Process is used to determine the subjective weights of each indicator,and the coefficient of variation is used to determine the objective weights.After selecting the weights,the economic value of the enterprise is used to reflect the prosperity standards of the enterprise,and the model construction is completed.The evaluation results of Enterprise 1 and Enterprise 8 in the experiment were 0.7 and 0.5,respectively,which are consistent with the expert evaluation results,indicating the credibility of the small and micro enterprise prosperity evaluation model based on data mining technology.
data miningsmall and micro enterprisesenterprise production monitoringevaluation model
国家科技期刊平台
NSTL
万方数据
