Fuzzy Evaluation Model of Economic Loss in High Density Marine Traffic Accidents Based on Big Data Analysis

Abstract

Shi, L., 2019. Fuzzy evaluation model of economic loss in high density marine traffic accidents based on big data analysis. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 768–774. Coconut Creek (Florida), ISSN 0749-0208.The traditional fault tree analysis method cannot accurately evaluate the economic loss of high-density marine traffic accidents, so a fuzzy evaluation model of high-density marine traffic accident economic loss based on big data analysis is proposed. Dimensionless processing is carried out for each variable value of the economic loss evaluation index of maritime traffic accidents. According to the processing results, the absolute and relative indexes of accidents are used to reasonably convert the economic loss data of traffic accidents into safety index for calculation. On this basis, the index of the safety condition of maritime traffic is determined, and finally the construction of the fuzzy evaluation of economic loss of maritime traffic accidents is realized. The simulation results show that compared with the traditional model, the model can better reflect the actual water safety situation, and can accurately analyze and evaluate the economic losses caused by maritime traffic accidents. It shows that the model is reliable in evaluating the economic losses caused by maritime traffic accidents, and can provide a strong guarantee for maritime traffic.