模糊聚类在筛选本科生教育评定指标中的应用  

Application of Fuzzy Clusters to Screen Undergraduate Education Assessment Targets

作　　者：郭梅[1] 赵希男[1] 陈洋洋[1] 王洪江[1] 

机构地区：[1]东北大学工商管理学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2011年第3期452-456,共5页Journal of Northeastern University(Natural Science)

基　　金：全国教育科学"十一五"规划2007年度教育部重点课题(DIA070120)

摘　　要：本科生教育水平是国家科学文化发展水平的根本标志之一,因此研究本科生综合教育评价指标体系具有极其重要的意义.将数据挖掘中的模糊聚类分析方法应用到教育水平评定中,通过梳理文献、实地调查、发放问卷等形式收集整理了影响本科生教育水平评定的原始数据;用模糊聚类分析方法对数据进行处理,筛选出影响本科生教育水平评定的9项指标,这些指标基本涵盖了本科生教育水平所包含的有效信息,为下一步的研究提供了实证依据.The level of undergraduate education is one of the fundamental indicators of a country＇s scientific development.Consequently,research on education level assessment systems carries great significance.This article applies fuzzy clustering data analysis in evaluating education level,providing the primary data affecting level evaluation of undergraduate student education.Data were collected by on-site investigation,questionnaire reorganization,and other means,and were processed with fuzzy clustering analysis to screen 9 targets affecting the level evaluation of undergraduate education.These targets basically cover the effective information contained in the level of undergraduate education,and provide a diagnostical basis for further research.

关 键 词：模糊聚类 本科生教育 水平评定 指标筛选 

分 类 号：N945.1[自然科学总论—系统科学]