Abstract
In order to address the crowding problem in college cafeterias, this paper classifies and summarizes the factors that may cause the crowding in college cafeterias by reviewing a large amount of related literature, establishes a fault tree model of the crowding in college cafeterias on this basis, and transforms it into a Bayesian network to construct a Bayesian network model of the crowding in college cafeterias. Then, we collect the case data of students' opinions about the cafeteria crowding event in Dalian Maritime University by conducting a questionnaire survey and normalizing them, and use the two-way inference function of Bayesian network to calculate the influence degree of each influencing factor on the cafeteria crowding event in colleges and the importance degree of each influencing factor when the cafeteria crowding event occurs. Finally, we find that the short meal service time, few cafeteria stores, insufficient cafeteria staff, low level of informatization and serious seat occupation problem are the five key factors that are most likely to lead to the occurrence of cafeteria crowding events.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.