Analysis on Customer Satisfactory Rate of University Canteen Based on Fuzzy Comprehensive Evaluation and K-means Arithmetic

摘要：

As the population of university students grows every year, more and more attention is paid on the dining problems at university canteen and therefore the service quality of a university canteen plays an important role in building a universitys reputation. In this paper, the customer satisfactory rate of the canteens at South China Agricultural University (SCAU) is taken as an example. Firstly, Fuzzy Comprehensive Evaluation is used to analyze the comprehensive satisfactory degree of the canteen; then the K-means algorithm carried out by the SPSS Clementine data mining tools would be adopted to conduct cluster analysis on the customer satisfaction survey data, and explore the individual characteristics factors that affect the customer satisfaction of university canteens. The target is to provide canteen management strategies with some scientific evidence for decision making and improving the quality of their service.

关键词： university canteen customer satisfactory rate fuzzy comprehensive evaluation clustering analysis

作者: Jingying Ou Ting Fang Shouhua Yu

作者单位: College of Public Management South China Agricultural University Guangzhou, China College of Informatics South China Agricultural University Guangzhou, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 224-227

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）