Model and Algorithm Design for Cargo Shipping Safety Based on Fuzzy- Precise Bayesian Network

The shippers have the requests for the accessibility and economics of logistics on the premise of cargo safety, and the cargo shipping safety is an important part of logistics safety. Thus, it is quite essential to monitor the cargo shipping safety. The data is difficult to obtain in the research for cargo shipping safety, thus it cannot cover all states of influencing factors during modeling process of Bayesian network. In order to solve this problem, the computation process of Bayesian network was improved in this paper, and the Fuzzy-precise Bayesian network was obtained. The Fuzzy-precise Bayesian network was applied to monitor cargo shipping safety. According to the multi-field coupling theory, the index system influencing the cargo shipping safety was established, the GeNIe software was used to conduct the inference of Bayesian network. The inference model was utilized for conducting the safety monitoring of specific cargo on a bulk cargo ship of a company in Hainan province, and the effectiveness and availability of this model was examined. This paper provides guidance for safety production of enterprises' cargo shipping.