Multi Model Establishment of Enterprise Case Aided Decision-making Based on Data Analysis

Abstract

Conventional multiple models for enterprise case aided decision-making mainly use AHP (Analytic Hierarchy Process) analytic hierarchy process to measure the relative weight of multiple factors, which is vulnerable to the influence of normalized processing relationship, resulting in low accuracy of model classification. Therefore, a new multiple model for enterprise case aided decision-making needs to be designed based on data analysis. That is, data preprocessing is carried out in advance, the original data of the model is obtained through data cleaning, feature selection, and feature coding steps, and then model parameters are selected. Using data analysis technology, an enterprise case aided decision-making multiple model is established. The experimental results show that the classification accuracy of the designed enterprise case aided decision-making multiple model based on data analysis is high, which proves that the established enterprise case aided decision-making multiple model has good performance, reliability, and certain application value, and has made certain contributions to improving the effect of enterprise case aided decision-making.