【摘要】 数字化校园的数据应用集成已不能满足大数据时代智慧校园的需要,针对大学生网络游戏成瘾现象,提出基于模糊多属性决策的大学生网络游戏成瘾防治模型。该方法利用模糊C-均值聚类法对数据进行关联聚类分析,采用模糊层次分析法对数据进行程度划分,对大学生学业成绩、网络消费、上网时长等数据进行分析,进而评价大学生日常行为问题的严重程度,并根据大学生网络成瘾评估结果,采用决策支持技术对大学生网络成瘾进行防治。该模型可以避免主观错误判断和人为逻辑错误,提高评估结果的客观性、准确性,通过有效利用校园大学生行为数据,正面引导教育大学生成长。更多还原

【Abstract】 Since the data application integration of digitalized campus cannot meet the need of Age of Big Data,aiming at the phenomenon of college students’ addiction to online games,this paper presented the model based on FMADM( Fuzzy Multiple Attribute Decision Making) to solve the problem of controlling college students’ addiction to online games. The method analyzed cluster data with fuzzy C-means clustering method and classify data by means of fuzzy hierarchy analysis,processing and analyzing the data of undergraduates’ academic achievements,Internet consumption and the online time; then,evaluated the serious degree of the college students’ daily behavior problem,and it prevents and controls network game addiction by decision support technologies based on the evaluation results. This model improves the objectivity and the accuracy of evaluation results and gives a positive guidance for college students by making effective use of campus student behavior data,avoiding human subjective judgment and logic errors.更多还原