New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic...

Area of Science:

• Decision Sciences
• Operations Research
• Public Health

Background:

• Emergency events necessitate efficient decision-making to minimize economic and social consequences.
• Existing methods may not adequately handle the uncertainty and vagueness inherent in emergency situations.
• The need for robust emergency decision-making (EDM) frameworks is critical.

Purpose of the Study:

• To propose a new integrated emergency decision-making (EDM) method.
• To enhance the efficiency and accuracy of selecting optimal emergency response solutions.
• To address the challenges of uncertain and vague information in emergency contexts.

Main Methods:

• Integration of regret theory and the Evaluation Based on Distance from Average Solution (EDAS) method.
• Utilization of the 2-tuple spherical linguistic term sets (TSLTSs) for expressing uncertain information.
• Objective determination of criteria weights using the Criteria Importance Through Inter-criteria Correlation (CRITIC) method.

Main Results:

• A novel regret theory-EDAS method was developed for ranking emergency alternatives.
• The method effectively handles uncertain and vague evaluation information using TSLTSs.
• Application to a public health emergency in China demonstrated the method's practicality and superiority.

Conclusions:

• The proposed integrated EDM method offers a superior and practical approach to emergency response selection.
• The combination of regret theory, EDAS, and 2-tuple spherical linguistic environments effectively addresses complex decision-making challenges.
• The method provides a valuable tool for improving emergency decision-making processes in critical situations.