Abstract
The teaching buildings in colleges and universities are crowded and prone to accidents. The emergency evacuation capability of these buildings is evaluated by applying the methods of fault tree, entropy weight-logarithmic fuzzy multiobjective programming (E-LFMP) and fuzzy comprehensive evaluation. An index system was constructed using the basic event structure importance of the accident tree, and the influencing factors were more systematic. In order to improve the objectivity and rationality of the evaluation process and results, this study combines the entropy weight method and multi-objective fuzzy logarithmic programming (LFMP) method to form the entropy weight-logarithmic fuzzy multiobjective programming. Consequently, the weights of different levels of index factors were analyzed and calculated, and more comprehensive content was considered. The fuzzy comprehensive evaluation model is established to evaluate the emergency evacuation ability of a teaching building. The maximum membership degree is 0.4025, and the corresponding grade is “general”, indicating that its emergency evacuation ability must be improved. Based on the weight ratio and grade results of indicators in the evaluation model of emergency evacuation capability, safety rectification measures and suggestions were put forward from the aspects of improving information systems, widening evacuation channels and strengthening safety channel maintenance.
Highlights
The university teaching building is a people-intensive place
The following is an analysis of the emergency evacuation ability of college and university teaching buildings from the perspective of the occurrence of trampling accidents using the fuzzy comprehensive evaluation method
The index system for evaluating the emergency evacuation ability of university teaching buildings was established from the perspective of man-buildingmanagement
Summary
The university teaching building is a people-intensive place. In the event of a stampede, the casualty rate is extremely high. Combining the results obtained by the accident tree analysis method, it can be seen that the unsafe state of the objects and the defects of the building structure and facilities are the main factors that affect the emergency evacuation capacity of the building. According to Kahraman’s research, the relative importance of factor Xi and factor Xj ranges from (lij, mij, uij), Using triangular fuzzy numbers to represent fuzzy judgment matrices, Mikhailov proposed a nonlinear optimization method [40], [41] This study improves it according to the actual situation and transforms it into a multiobjective solution, as follows. The above method is used to determine the weight value of index factors at different levels in the evaluation index system of college teaching buildings and to provide weight sets for fuzzy comprehensive evaluation
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
