Fishing Vessel Safety Evaluation Algorithm Based on Cloud Model

2014 ◽  
Vol 644-650 ◽  
pp. 2194-2197
Author(s):  
Jie Yao ◽  
Zhao Lin Wu ◽  
Zhi Yuan Xu ◽  
Yu Qing Ren

The safety evaluation of fishing vessels is a system and uncertain problem. A fishing vessel safety evaluation algorithm based on cloud model was proposed in this paper. Firstly, we established index system and weights by the AHP; Secondly, the cloud generator completed the conversion between qualitative and quantitative indicators; Thirdly, the evaluation cloud model was achieved by the comprehensive cloud algorithm; Finally, the forward cloud generator restored the droplet distribution. Compared with the fuzzy comprehensive evaluation method, the experimental results show that our work is effective and accurate.

2014 ◽  
Vol 505-506 ◽  
pp. 467-470
Author(s):  
Li Yun Wei ◽  
Yong Bo Lv ◽  
Yuan Ren

In order to evaluate urban rail traffic safety performance comprehensively and to find the weak link to strengthen management, this article, it used the secondary fuzzy comprehensive evaluation method for safety assessment. the qualitative analysis was done to emphasis the structure importance and management strategies are put forward based on the results.


2013 ◽  
Vol 868 ◽  
pp. 300-305 ◽  
Author(s):  
Tian Jun Zhang ◽  
Jin Hu Ren ◽  
Sheng Hong Yu ◽  
Wei Cui

For the accuracy of the inrush risk assessment of the problem, put forward in the mine inrush risk assessment using the entropy weight fuzzy comprehensive evaluation method to determine the index weight, through the membership function in fuzzy comprehensive evaluation to quantify the qualitative description of these factors, evaluated the henan jiaozuo mine inrush risk. The results show that the mine water inrush risk grade is "great", the actual mine water inrush accidents have occurred, prediction results conform to the actual situation, and safety evaluation value based on the principle of maximum membership degree is more than analytic hierarchy - fuzzy comprehensive evaluation to get , 0.0696. Thus, the method in the mine inrush prediction can objectively and accurately reflect the actual situation of mine inrush.


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