Research on Internal Management of Enterprises in the Era of Big Data Based on Evaluation Analysis of Full Power TOPSIS

DOI

10.2991/978-94-6463-238-5_68How to use a DOI?

Keywords

Weighted TOPSIS method; enterprise internal management; big data technologies; comprehensive quality management; evaluation system

Abstract

This study proposes a novel approach using the Weighted TOPSIS method to evaluate enterprise internal management in the big data era. It aims to develop a comprehensive quality management evaluation system that utilizes big data technologies. The paper includes six sections: introduction, overview of Weighted TOPSIS method, importance of comprehensive quality management and big data technologies, application of Weighted TOPSIS method to evaluation, challenges and countermeasures, and concluding remarks. By comparing with traditional TOPSIS method, the effectiveness of the proposed approach is demonstrated.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Yang Gao
PY  - 2023
DA  - 2023/09/26
TI  - Research on Internal Management of Enterprises in the Era of Big Data Based on Evaluation Analysis of Full Power TOPSIS
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 486
EP  - 493
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_68
DO  - 10.2991/978-94-6463-238-5_68
ID  - Gao2023
ER  -