Keywords
Emergency
Key influencing factor
Submitted : 2024-11-03
Accepted : 2024-11-18
Published : 2024-12-03
Abstract
To effectively address the complexity of the environment, information uncertainty, and variability among decision-makers in the event of an enterprise emergency, a multi-granularity binary semantic-based emergency decision-making method is proposed. Decision-makers use preferred multi-granularity non-uniform linguistic scales combined with binary semantics to represent the evaluation information of key influencing factors. Secondly, the weights were determined based on the proposed method. Finally, the proposed method’s effectiveness is validated using a case study of a fire incident in a chemical company.
References
Wang ZQ, Chen ZS, Garg H, et al., 2022, An Integrated Quality-Function-Deployment and Stochastic-Dominance-Based Decision-Making Approach for Prioritizing Product Concept Alternatives. Complex & Intelligent Systems, 8(3): 2541–2556.
Herrera F, Martinez L, 2000, An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 8(05): 539–562.
Wang H, Xin YJ, Deveci M, et al., 2024, Leveraging Online Reviews and Expert Opinions for Electric Vehicle Type Prioritization. Computers & Industrial Engineering, 197(11): 110579.
Chen ZS, Zhu Z, Wang XJ, et al., 2023, Multiobjective Optimization-Based Collective Opinion Generation with Fairness Concern. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(9): 5729–5741.
Zhao S, Dong Y, Wu S, et al., 2021, Linguistic Scale Consistency Issues in Multi-Granularity Decision Making Contexts. Applied Soft Computing, 101: 107035.
Zheng Y, Xu Z, Tian Y, 2022, Granular Computing and Optimization Model-Based Method for Large-Scale Group Decision-Making and its Application. Economic Research-Ekonomska Istraživanja, 35(1): 5221–5252.