Prethodno priopćenje
https://doi.org/10.7307/ptt.v29i3.2238
Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster
Yanfei Tian
; Wuhan University of Technology
Xuecheng Sun
; Guangzhou Marine Safety Administration
Lijia Chen
; Wuhan University of Technology
Liwen Huang
; Wuhan University of Technology
Sažetak
In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC). The evaluation index system is structured scientifically through both literature review and expert investigation. The relative weight of each index is designed to be obtained via fuzzy analytic hierarchy process (FAHP); Index membership degree of every grey class is proposed to be achieved by fuzzy statistics (FS) to avoid the difficulty of building whiten weight functions. By using the model, nautical navigational environment risk of the Qiongzhou Strait is determined at a “moderate” level according to the principle of maximum membership degree. The comprehensive risk evaluation of the Qiongzhou Strait nautical navigational environment can provide theoretical reference for implementing targeted risk control measures. It shows that the constructed GFWC risk assessment model as well as the presented steps are workable in case of incomplete information. The proposed strategy can excavate the collected experts’ knowledge mathematically, quantify the weight of each index and risk level, and finally lead to a comprehensive risk evaluation result. Besides, the adoptions of probability and statistic theory, fuzzy theory, aiming at solving the bottlenecks in case of uncertainty, will give the model a better adaptability and executability.
Ključne riječi
nautical navigational environment; risk evaluation; grey fixed weight cluster; fuzzy analytic hierarchy process; fuzzy statistic
Hrčak ID:
186856
URI
Datum izdavanja:
27.6.2017.
Posjeta: 1.955 *