A Bayesian Network under Strict Chain Model for Computing Flow Risks in Smart City
Joint Authors
Wei, Zengfanxiang
Zhang, Lei
Yue, Qi
Zhong, Muchen
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Risk management is a key factor for smart city running.
There are many risk events in a strict process like transportation management of a smart city or a medical surgery in a smart hospital, and every step may lead to one kind of risk or more.
In view of the fact that the occurrence of the flow risks follows the sequence formed by each process step, this paper presents a Bayesian network under strict chain (BN_SC) to model this situation.
In this model, the probabilistic reasoning formula is given according to the sequence of process steps, and the probabilities given by the model can do risk factor analysis to support the system to find an effective way to improve the process like machine manufacturing or a medical surgery.
Finally, an example is analyzed based on the information given by doctors according to the situation of LC in their hospital located in Sichuan Province of China, which shows the effectiveness and rationality of the proposed BN_SC model.
American Psychological Association (APA)
Wei, Zengfanxiang& Zhang, Lei& Yue, Qi& Zhong, Muchen. 2020. A Bayesian Network under Strict Chain Model for Computing Flow Risks in Smart City. Complexity،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1142630
Modern Language Association (MLA)
Wei, Zengfanxiang…[et al.]. A Bayesian Network under Strict Chain Model for Computing Flow Risks in Smart City. Complexity No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1142630
American Medical Association (AMA)
Wei, Zengfanxiang& Zhang, Lei& Yue, Qi& Zhong, Muchen. A Bayesian Network under Strict Chain Model for Computing Flow Risks in Smart City. Complexity. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1142630
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142630