Risk assessment of the Ship steering gear failures using fuzzy-Bayesian networks

B Göksu, O Yüksel, C Şakar - Ocean Engineering, 2023 - Elsevier
Accidents caused by steering gear malfunctions, especially during port berthing maneuvers,
the strait, and canal crossings, can lead to hazardous consequences on the environment …

The analysis of credit risks in agricultural supply chain finance assessment model based on genetic algorithm and backpropagation neural network

Y Wu, X Li, Q Liu, G Tong - Computational Economics, 2021 - Springer
The risk assessment methods of agricultural supply chain finance (SCF) are explored to
reduce agricultural SCF's credit risks. First, the genetic algorithm (GA) is utilized to adjust …

Financial network analysis on the performance of companies using integrated entropy–DEMATEL–TOPSIS model

KF Liew, WS Lam, WH Lam - Entropy, 2022 - mdpi.com
In this paper, we propose a multi-criteria decision making (MCDM) model by integrating the
entropy–DEMATEL with TOPSIS model to analyze the causal relationship of financial ratios …

Textual emotional tone and financial crisis identification in Chinese companies: a multi-source data analysis based on machine learning

Z Zhang, M Luo, Z Hu, H Niu - Applied Sciences, 2022 - mdpi.com
Nowadays, China is faced with increasing downward pressure on its economy, along with
an expanding business risk on listed companies in China. Listed companies, as the solid …

Financial crises and the national logistics performance: Evidence from emerging and developing countries

TC Nguyen, TH Le - International Journal of Finance & …, 2024 - Wiley Online Library
This study explores the effects of financial crises on the national logistics performance using
a panel of more than 100 emerging and developing countries over the period 2007–2017 …

Research on the action mechanism of circular economy development and green finance based on entropy method and big data

Y Xiaofei - Journal of Enterprise Information Management, 2022 - emerald.com
Purpose By calculating the information entropy of the indicator and measuring the amount of
information in the data, this paper determines the weight of the indicator according to the …

Evaluation and improvement of the efficiency of logistics companies with data envelopment analysis model

PF Lee, WS Lam, WH Lam - Engineering journal, 2021 - engj.org
The performance of global trade depends on the logistics industry to move products,
information, finances, technology and human resources along the supply chain. The current …

Multi-feature fusion method for chinese shipping companies credit named entity recognition

L He, S Wang, X Cao - Applied Sciences, 2023 - mdpi.com
Shipping Enterprise Credit Named Entity Recognition (NER) aims to recognize shipping
enterprise credit entities from unstructured shipping enterprise credit texts. Aiming at the …

Factors influencing follow-on public offering of shippng companies from investor perspective–a hybrid multiple-criteria decision-making approach

AJ Lin, SW Huang, HY Chang… - Technological and …, 2024 - journals.vilniustech.lt
The shipping industry transports nearly 80% of the goods worldwide and requires large
funding. The shipping industry shifted from debt to equity as the source of funding in the last …

Financial crisis early warning of Chinese listed companies based on MD&A text-linguistic feature indicators

Z Zhang, X Liu, H Niu - Plos one, 2023 - journals.plos.org
Nowadays, the international situation is severe and complex, and the structural issues within
the Chinese economy are prominent. Consequently, the financial risks faced by Chinese …