A FUZZY BAYESIAN NETWORK APPROACH FOR RISK ANALYSIS OF HAZARDOUS CARGO SHIPS

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Issue:23
A FUZZY BAYESIAN NETWORK APPROACH FOR RISK ANALYSIS OF HAZARDOUS CARGO SHIPS

A FUZZY BAYESIAN NETWORK APPROACH FOR RISK ANALYSIS OF HAZARDOUS CARGO SHIPS

Authors : Gözde Nur KÜÇÜKSU, Ayhan MENTES, Hakan AKYILDIZ

Pages : 18-37

View : 46 | Download : 40

Publication Date : 2023-07-31

Article Type : Research Paper

Abstract :The increasing global transportation raises some concerns over the handling of hazardous cargo vessels during berthing operations. This paper uses a Fuzzy Bayesian Network for the identification of various influencing factors, the inference, and analysis of these factors. The results show that dangerous cargo ships require more attention to resolve the risk probability. Human and environmental factors are the most prominent factors. On the other hand, training of ship personnel, wind force, water velocity, channel width, dock layout, and port location are other important factors to be taken into consideration. To conduct risk management for hazardous cargo vessels, port authorities need to focus on the invulnerable berthing of hazardous cargo vessels. The proposed model has prominent practical viability for governments, liner companies, and port authorities.
Keywords : Risk Analizi, Bayes Ağı, Dilbilimsel değişkenler, Bulanık Küme Teorisi, Tehlikeli Yük, Yanaşma Operasyonu

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