scholarly journals Hesitant Cloud Model and Its Application in the Risk Assessment of “The Twenty-First Century Maritime Silk Road”

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lizhi Yang ◽  
Ren Zhang ◽  
Taiping Hou ◽  
Zhinan Hao ◽  
Jun Liu

The evaluation of human environment risk is lacking quantitative data, while the qualitative knowledge cannot be easily quantified and synthesized. Furthermore, sometimes the experts are not well acknowledged with the whole indicator system or cannot reach an agreement on the comments. The conventional evaluation methods are not competent to solve the above aporia effectively. Thus the quantization of the human environment risk becomes a conundrum. The compatibility cloud model theory can set up a conversion model between the qualitative knowledge and quantitative value, which provides technique approaches to evaluating the risk of human environment. However, the hesitant opinion of experts stemming from the missing knowledge of the whole system or the branching opinions cannot be well solved by the traditional compatibility cloud model theory. Therefore, this paper brings in the theory of hesitant fuzzy set, combining with the cloud model theory, to try to construct a hesitant cloud model to achieve the quantitative assessment of human environment risk. And at last an experiment evaluation on the risk of maritime silk road is carried out.

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Kefeng Liu ◽  
Lizhi Yang ◽  
Ming Li

Piracy is a major threat to maritime safety. Assessing piracy risk is crucial to ship safety, travel security, and emergency plan preparation. In the absence of a thorough understanding of the factors and mechanisms that influence piracy, no perfect mathematical equation can be set up for such risk assessment. Therefore, the major factors that influence piracy were identified to construct an indicator system for assessment. These factors were analyzed, keeping in view the overall hazard, vulnerability, and antirisk properties, and then the Bayesian network was introduced into the risk assessment model to fuse multiresource information. For some indicators, which have only qualitative information or fragmentary statistical data, the cloud model theory was adopted to realize prior probability settings of the Bayesian network and thus made up for the deficiency in parameter settings. Finally, the inherent hazard of the South China Sea was assessed, as an example for the model, and two real piracy cases were studied to validate the proposed model. The assessment model constructed here can be applied to all cases, similar to the ones studied here.


2017 ◽  
Vol 9 (5) ◽  
pp. 688 ◽  
Author(s):  
Ke-Qin Wang ◽  
Hu-Chen Liu ◽  
Liping Liu ◽  
Jia Huang

2010 ◽  
Vol 143-144 ◽  
pp. 1204-1206
Author(s):  
Xian Min Wei

This paper studies one method of cloud model to effectively limit the using Ant-colony Algorithm into local optimal solution, and experimental results show that this Ant-colony Algorithm can improve the speed of global search and optimal performance significantly.


2017 ◽  
Vol 12 (3) ◽  
pp. 437-444 ◽  
Author(s):  
Weisheng Li ◽  
Jia Zhao ◽  
Bin Xiao

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