数据驱动的教育项目智能化决策管理体系构建及应用

——基于联邦在线区间模糊聚类算法

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Abstract：To address the chalenges of distributed data privacy protection，real-time data stream processing，and featureuncertaintyineducational project management scenarios，a Federated-Online-Interval-Fuzzy-Clustering（FOIFCM）algorithm isproposed，which integrates federated learning，online leaming，and interval fuzzy clustering.The construction of a dynamic decision-making management system for educational projects based on FOIFCM has become a key path to break through the current bottlenecks in educational project management.The FOIFCM algorithmachieves privacy protection of distributeddata through a federated learning architecture，processes time-series data streams using anonlinelearning mechanism，and handlesthe uncertaintyin educational data basedon intervalfuzzy clustering.Additionally，itintroducesadaptive cluster number adjustment，dynamic fuzzy index，and weighted interval distance measurementto effctivelydeal withconcept driftand feature heterogeneityindata.Theresults show thattheFOIFCM algorithm has excellent clusteringquality，strong dynamic adaptability，secure privacy protection，and effective decision support.Its clustering quality and dynamic adaptabilityare significantly beterthan those of traditional algorithms， which can significantlyimprove theexecution eficiencyand goal achievement rateof educational projects.The decision-making system driven byitcan effectively enhance the management effct of educational projects andalso provide a data-driven practical framework for educational project management.

Keywords：federated learning；interval fuzzy clustering；educational project management；dynamic decision-making; privacyprotection

0引言

当前，人工智能与物联网技术正推动教育项目向多参与方协作、数据驱动决策转型[1]。（剩余19982字）