Evaluation of Psychological Impact of Emergency Events Based on Bayesian Network
| Autor: | Xin Wang, Rui Shi, Zhi Jie Song |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Coping (psychology)
media_common.quotation_subject Bayesian network Inference public psychology Ambiguity computer.software_genre emergency events Psychological health impact degree Risk analysis (engineering) lcsh:TA1-2040 Data mining Psychology lcsh:Engineering (General). Civil engineering (General) computer media_common |
| Zdroj: | MATEC Web of Conferences, Vol 63, p 04007 (2016) |
| Popis: | Representation and inference of uncertain knowledge pose great challenge to the evaluation of the impact of emergency events on public psychology. With the advantages in solving issues on an uncertain basis, Bayesian network exhibits a superioty in effectively coping with the diversity, uncertainty and ambiguity of the evaluative information of emergency events. A model was established in this article to evaluate the impact caused by emergency events on the public’s psychological health based on the Bayesian network. Moreover, the method of inference and decision-making was also presented, and an example analysis was performed. The result shows that the proposed model can improve the evaluation accuracy and the responsiveness of the managers when making decisions. |
| Databáze: | OpenAIRE |
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