A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic...

Area of Science:

• Operations Research
• Decision Science
• Emergency Management

Background:

• Emergency response effectiveness depends on individual department efficiency and inter-departmental coordination.
• Existing decision-making models often fail to capture the complex synergistic effects in collaborative emergency scenarios.

Purpose of the Study:

• To develop a novel collaborative emergency decision-making (CEDM) approach.
• To enhance emergency response performance by considering synergy among different departments.
• To incorporate decision-makers' psychological behaviors into the decision process.

Main Methods:

• Utilized an interval 2-tuple linguistic environment to represent uncertain evaluation information.
• Extended the Best-Worst Method (BWM) to determine criterion weights in a group decision-making context.
• Proposed an interval 2-tuple linguistic TODIM (ITL-TODIM) method to evaluate alternatives, considering both gains and losses.

Main Results:

• The proposed CEDM approach effectively evaluates individual and collaborative performance of emergency department combinations.
• The ITL-TODIM method provides practical and accurate decision results by accounting for decision-makers' psychological aspects.
• Sensitivity and comparative analyses validated the effectiveness and advantages of the proposed method.

Conclusions:

• The integrated BWM and ITL-TODIM approach offers a robust framework for collaborative emergency decision-making.
• This method improves the optimization of emergency response strategies by considering inter-departmental synergy and human psychological factors.
• The approach demonstrates significant potential for enhancing the timeliness and effectiveness of emergency responses.