Risk Analysis and Crisis Management of Novel Coronavirus COVID-19✩
- 10.2991/jracr.k.200421.001How to use a DOI?
- Complementary judgment matrix; big data decision-making; maximum likelihood estimation; infectious disease risk
After the outbreak of new coronavirus pneumonia, all regions have responded to take measures. Emergency decision-making plays an important role, directly related to the safety of the people, and more deeply will affect the future of the country. In this paper, we try to use the wisdom of large groups which are distributed in the social network to deal with the relevant indicators of the group big data decision-making model under the maximum likelihood estimation of the complementary judgment matrix, to establish the epidemic risk assessment system of infectious diseases, and to realize the group decision-making and risk analysis based on the big data.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Weixi Xu AU - Xuanhua Xu PY - 2020 DA - 2020/04/27 TI - Risk Analysis and Crisis Management of Novel Coronavirus COVID-19✩ JO - Journal of Risk Analysis and Crisis Response SP - 77 EP - 81 VL - 10 IS - 3 SN - 2210-8505 UR - https://doi.org/10.2991/jracr.k.200421.001 DO - 10.2991/jracr.k.200421.001 ID - Xu2020 ER -