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Reliability engineering & system safety, 2021-04, Vol.208, p.107325, Article 107325
2021
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Autor(en) / Beteiligte
Titel
Selection of Strategy for Large Group Emergency Decision-making based on Risk Measurement
Ist Teil von
  • Reliability engineering & system safety, 2021-04, Vol.208, p.107325, Article 107325
Ort / Verlag
Barking: Elsevier Ltd
Erscheinungsjahr
2021
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •A preference representation method for large group emergency decision makers is designed.•The group preference fusion rules are given according to the characteristics of large group emergency decision-making strategies.•A model of decision risk measurement is proposed.•The universal rules of large group emergency decision-making strategies selection are obtained. Different strategies can be applied in large group emergency decision-making, including the voting strategy, the delegation strategy, and the averaging strategy, etc. The choice of decision-making strategy not only affects the efficiency but also the accuracy of decision-making. Based on signal detection theory, a preference representation method for large group emergency decision-making is proposed. Combining the characteristics of the strategies, rules for the fusion of group preferences are presented, and a risk measurement model for large group emergency decision-making is constructed. By comparing the decision-making risk degree of each decision-making strategy under different conditions of group perception information breadth and external environment, the universal rules of large group emergency decision-making strategy selection are obtained. The results revealed that there are comparative advantages among decision-making strategies in specific situations, and that reasonable decision-making strategy selection can effectively control decision-making risk. The results provide a scientific reference and basis for guiding strategy selection in large group emergency decision-making.
Sprache
Englisch
Identifikatoren
ISSN: 0951-8320
eISSN: 1879-0836
DOI: 10.1016/j.ress.2020.107325
Titel-ID: cdi_proquest_journals_2502228823

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