Design of Educational Supply Chain Collaborative Management Faculty System Based on Improved Fuzzy Clustering Algorithm in the Context of Artificial Intelligence

The management and storage of student information is crucial for college administrators, however, in the past, college administrators were more accustomed to using manual means to manage student information, which is not only inefficient, but also poor in confidentiality. In view of this, the study improves the framework of the faculty management system, and introduces the business workflow management technology and the improved fuzzy clustering algorithm to design a new type of intelligent education supply chain collaborative management faculty system. Compared with the traditional algorithm, the improved fuzzy clustering algorithm’s performance is the best. Compared with the unimproved fuzzy clustering algorithm, the P-value, R-value and F1-value of the improved fuzzy clustering algorithm proposed by the study were increased by 6.54%, 6.56% and 6.46%, respectively, and the average detection time was reduced by 15.93 seconds. Moreover, the stability of the new intelligent education supply chain collaborative management teaching system mentioned in the study reaches up to 93.42%, and the shortest running time is only 6s, which can truly reflect the conditions encountered in the actual application scenarios. It can be seen that by combining the intelligent teaching system with the improved fuzzy clustering algorithm, the stability and efficiency of the teaching system can be effectively improved, which provides an efficient and feasible proposal for the design of intelligent teaching information system in colleges and universities.