Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341917,
        author={Kunying  Li and Xuwei  Jiang and Xu  He and Siwen  Yin},
        title={Multi Model Establishment of Enterprise Case Aided Decision-making Based on Data Analysis},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={data analysis; enterprises; cases; auxiliary; policy decision; multi model; establish},
        doi={10.4108/eai.27-10-2023.2341917}
    }
    
  • Kunying Li
    Xuwei Jiang
    Xu He
    Siwen Yin
    Year: 2024
    Multi Model Establishment of Enterprise Case Aided Decision-making Based on Data Analysis
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341917
Kunying Li1,*, Xuwei Jiang2, Xu He1, Siwen Yin1
  • 1: Information Technology Center PetroChina RIPED
  • 2: Legal and Enterprise Reform Department PetroChina
*Contact email: likunying@petrochina.com.cn

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.