A method for internal participation in rescue decision-making of emergency volunteer teams considering psychological behavior is proposed to address the time sequence of rescue tasks.Firstly,the problem of multi-taski...A method for internal participation in rescue decision-making of emergency volunteer teams considering psychological behavior is proposed to address the time sequence of rescue tasks.Firstly,the problem of multi-tasking and multi-operation within the emergency volunteer team is described.Secondly,considering that task leaders are influenced by behavioral and psychological factors in the evaluation,the required time for the job is used as a reference point,and the expected time that volunteers can complete the job is used as an attribute value.The task leader's prospect satisfaction value for each volunteer is calculated based on prospect theory,and the perceived utility values of disappointment theory and regret theory are calculated to measure the task leader's satisfaction with each volunteer.Furthermore,a multilayer coded genetic algorithm is used to construct an optimization model for emergency volunteer decision-making with the objective of maximizing the satisfaction value.Finally,the feasibility and effectiveness of this method are illustrated by an example analysis.The result shows that the efficiency of rescue tasks can be improved through decision optimization within the volunteer team.展开更多
基金Supported by Fujian Provincial Social Science(FJ2023B052)。
文摘A method for internal participation in rescue decision-making of emergency volunteer teams considering psychological behavior is proposed to address the time sequence of rescue tasks.Firstly,the problem of multi-tasking and multi-operation within the emergency volunteer team is described.Secondly,considering that task leaders are influenced by behavioral and psychological factors in the evaluation,the required time for the job is used as a reference point,and the expected time that volunteers can complete the job is used as an attribute value.The task leader's prospect satisfaction value for each volunteer is calculated based on prospect theory,and the perceived utility values of disappointment theory and regret theory are calculated to measure the task leader's satisfaction with each volunteer.Furthermore,a multilayer coded genetic algorithm is used to construct an optimization model for emergency volunteer decision-making with the objective of maximizing the satisfaction value.Finally,the feasibility and effectiveness of this method are illustrated by an example analysis.The result shows that the efficiency of rescue tasks can be improved through decision optimization within the volunteer team.
