模糊综合评判的系统聚类算法研究
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摘要
对于数量较大、维度较多、较为复杂的聚类对象,系统聚类较为复杂;而模糊综合评判聚类方法聚类结果不够准确,其个数难以控制。为此,提出基于模糊综合评判的系统聚类算法,该方法对较为复杂的、由多种因素制约的事物或对象进行模糊综合评判处理,提取对象的整体特征,运用系统聚类对其进行聚类分析。最后通过对5个班级的多次考试成绩进行了聚类分析,验证了该算法的有效性。实验结果表明,该方法具有准确性、整体性、可操作性以及简略性等。
For the large number of clustering objects with more dimensions and more complex,the system clustering is more complex. The fuzzy comprehensive evaluation clustering method clustering results are not accurate enough,the number of which is difficult to control. For this reason,a system clustering algorithm based on fuzzy comprehensive evaluation is proposed. This method performs fuzzy comprehensive evaluation on complex objects or objects which are restricted by many factors,extracts the whole features of the objects,and uses system clustering to cluster them. The validity of the algorithm is verified by clustering analysis of the test scores of five classes. Experimental results show that this method can effectively improve the accuracy of clustering,integrity,maneuverable,simplicity and so on.
For the large number of clustering objects with more dimensions and more complex,the system clustering is more complex. The fuzzy comprehensive evaluation clustering method clustering results are not accurate enough,the number of which is difficult to control. For this reason,a system clustering algorithm based on fuzzy comprehensive evaluation is proposed. This method performs fuzzy comprehensive evaluation on complex objects or objects which are restricted by many factors,extracts the whole features of the objects,and uses system clustering to cluster them. The validity of the algorithm is verified by clustering analysis of the test scores of five classes. Experimental results show that this method can effectively improve the accuracy of clustering,integrity,maneuverable,simplicity and so on.
引文
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[2]王超,郑旭芳,卜宁.基于小波聚类的终端区进场轨迹模式识别[J].计算机应用与软件,2016,33(11):112-116.WANG Chao,ZHENG Xufang,BU Ning.Pattern Recogniton of Approach Landing Trajectories in Terminal Airspace Based on Wavelet Clustering[J].Computer Applications and Software,2016,33(11):112-116.
[3]张琳,梁立明,FRIZO JANSSENS.混合聚类方法用于科学结构研究——以“心理学、社会学和教育学”领域为例[J].科学学研究,2010,28(6):837-845+808.Zh ANG Lin,LIANG Liming,FRIZO Janssens.Hybrid Clustering for The Analysis of Subject-Classification:A Case Study of“Psychology,Sociology&Education”Domain[J].Studies in Science of Science,2010,28(6):837-845+808.
[4]朱念,梁芷铭.我国哲学社会科学基金资助地区系统分布差异分析[J].统计与决策,2017(20):121-124.ZHU Nian,LIANG Zhiming.Analysis of the Differences in The Distribution of Regional System Funded by the Chinese Philosophy and Social Science Fund[J].Statistics&Decision,2017(20):121-124.
[5]许桃胜.基于基因组数据的癌症亚型发现聚类研究[D].合肥:中国科学技术大学自动化系,2016.XU Taosheng.Research on Clustering Analysis of Cancer Subtypes Based on Genomics Data[D].Hefei:Department of Automation,University of Science and Technology of China,2016.
[6]殷瑞飞.数据挖掘中的聚类方法及其应用[D].厦门:厦门大学经济学院,2008.YIN Ruifei.Clustering Methods in Data Mining with Its Applications——A Research from the Perspective of Statistics[D].Xiamen:The School of Economics,Xiamen University,2008.
[7]张培珍,付平,肖军,等.基于快速聚类索引的图像检索系统[J].吉林大学学报:信息科学版,2004,22(6):638-642.ZHANG Peizhen,FU Ping,XIAO Jun,et al.Image Retrieval System Based on Fast Clustering Indexing[J].Journal of Changchun Post and Telecommunication Institute,2004,22(6):638-642.
[8]Zadeh L A.Fuzzy Sets[J].Information and Control,1965,8(3):338-353.
[9]周勇林.基于模糊综合评判的可信度评估模型及方法研究[D].成都:电子科技大学电子科学技术研究院,2016.ZHOU Yonglin.Research on Credibility Evaluation Model and Its Algorithm Based on Fuzzy Comprehensive Evaluation[D].Chengdu:Research Institute of Electronic Science and Technology,University of Electronic Science and Rechnology of China,2016.
[10]沈世伟,佴磊,徐燕.不同权重条件下降雨对边坡稳定性影响的二级模糊综合评判[J].吉林大学学报:地球科学版,2012,42(3):777-784.SHEN Shiwei,NAI Lei,XU Yan.Two-Stage Fuzzy Comprehensive Evaluation for Rainfall Influence on Slope Stability under Different Weight Value[J].Journal of Jilin University:Earth Science Edition,2012,42(3):777-784.
[11]俞佳君.以学习为中心的高校教学评价研究[D].武汉:华中师范大学教育学院,2015.YU Jiajun.A Study on Learning-centered Evaluation of College Teaching[D].Wuhan:College of Education,Central China Normal University,2015.
[12]付希.基于蚁群算法的聚类分析在学生评价中的应用研究[D].成都:西南交通大学信息科学与技术学院,2013.FU Xi.The Clustering Analysis Based on Ant Colony Algorithm Applied in the Evaluation of Student Achievement[D].Chengdu:The School of Information Science and Technology,2013.
[13]汪培庄.模糊集合论及其应用[M].上海:上海科学技术出版社,1983:33-76.WANG Peizhuang.Fuzzy Set Theory and Its Application[M].Shanghai:Shanghai Scientific&Technical Publishers,1983:33-76.
[14]袁满.石油数据组织与分析[M].东营:中国石油大学出版社,2016:176-212.YUAN Man.Oil Data Organization and Analysis[M].Dongying:China University of Petroleum Press,2016:176-212.
[15]张莉.数据挖掘技术在高校学生成绩分析中应用的研究[D].东营:中国石油大学胜利学院信息与计算科学系,2010.ZHANG Li.Research of Data Mining When Analyzing The Marks of College Students[D].Dongying:Department of Information and Computing Science,Shengli College China University of Petroleum,2010.