Research on Modern Intelligent Port Evaluation

Huan Zhou (), Dan Zhou () and Zihao Liu ()
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Huan Zhou: Dalian Maritime University, School of Marxism
Dan Zhou: Waterborne Transport Research Institute, Intelligent Shipping Center, China
Zihao Liu: Navigation College, Dalian Maritime University

A chapter in Proceedings of the 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024), 2024, pp 366-376 from Springer

Abstract: 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.

Keywords: intelligent port; cloud matter element theory; intelligent port evaluation; evaluation indicators (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-408-2_42

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DOI: 10.2991/978-94-6463-408-2_42

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