Research on Modern Intelligent Port Evaluation
- DOI
- 10.2991/978-94-6463-408-2_42How to use a DOI?
- Keywords
- intelligent port; cloud matter element theory; intelligent port evaluation; evaluation indicators
- Abstract
This article focuses on the evaluation of intelligent ports and studies an improved matter-element structure model based on cloud models for intelligent port evaluation. Using the indicators proposed in the “Intelligent Port Evaluation Indicator System” (T/CIN 011–2023) as the evaluation indicators, an intelligent port evaluation indicator level cloud model is constructed based on the improved matter-element structure model of the cloud model. The correlation degree calculation method and entropy weight method are used to calculate the correlation degree and indicator weight of the evaluation indicators, and the evaluation level is determined based on the principle of maximum membership degree. Taking a certain port in China as an example, the effectiveness of the evaluation method was verified, and the evaluation confidence obtained was low, and the evaluation results obtained compared with other evaluation methods were the same. This proves that the reliability of the evaluation results is high, and the evaluation method is effective.
- 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.
Cite this article
TY - CONF AU - Huan Zhou AU - Dan Zhou AU - Zihao Liu PY - 2024 DA - 2024/05/07 TI - Research on Modern Intelligent Port Evaluation BT - Proceedings of the 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024) PB - Atlantis Press SP - 366 EP - 376 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-408-2_42 DO - 10.2991/978-94-6463-408-2_42 ID - Zhou2024 ER -