面向对象多属性差异的矩阵型灰色聚类方法及其应用-控制与决策.PDF

第30 卷 第2 期 控 制 与 决 策 2015 年 2 月 Vol. 30 No. 2 Control and Decision Feb. 2015 文章编号: 1001-0920 (2015) 02-0366-05 DOI: 10.13195/j.kzyjc.2013.1571 面向对象多属性差异的矩阵型灰色聚类方法及其应用 a,b,c a,b a,b a,b 刘红旗 , 方志耕 , 李维东 , 陶良彦 (南京航空航天大学a. 经济与管理学院，b. 科学发展研究中心，c. 纪委办公室，南京210016) 摘 要: 针对传统灰聚类法对聚类对象间的关系信息和属性间的差异信息利用不充分、灰类划分宽泛、聚类结果约 束相对严格、完备性不足等问题, 提出一种面向对象多属性差异的矩阵型灰色聚类方法. 该方法充分利用对象已有 的多属性信息, 可以在不同的属性类别组合上获得多元、客观的聚类结果, 使对象的分类更贴近于实际. 通过对安徽 省国家级贫困县进行聚类分析, 展示了矩阵型灰色聚类方法的应用, 表明了矩阵型灰色聚类方法的实用性和有效性. 关键词: 多属性；差异；矩阵型；灰色聚类；贫困县类型 中图分类号: C934 文献标志码: A Object-oriented multi-attribute differences matrix grey clustering method and its application LIU Hong-qia,b,c , FANG Zhi-genga,b , LI Wei-donga,b , TAO Liang-yana,b (a. College of Economics and Management，b. Scientific Development Research Center ，c. Commission for Discipline Inspection Office ，Nanjing University of Aeronautics and Astronautics ，Nanjing 210016 ，China. Correspondent ：LIU Hong-qi ，E-mail ：liuhongqi@nuaa.edu.cn) Abstract: An object-oriented multi-attribute differences matrix grey clustering method is proposed considering that the traditional grey clustering methods cannot make full use of the information relationships between the clustering objects and differences information of object’s multi-attributes. Grey class division is more general and the results of clustering have relatively strict constraints, lack of completeness. This method makes full use of existing multi-attribute information of the object, and can receive various, objective clustering results on different attribute category combi