PROGRESS OF GREY SYSTEM MODELS  

灰色系统模型研究进展(英文)

作　　者：刘思峰[1] 胡明礼[1] Forrest Jeffrey 杨英杰[1,3] 

机构地区：[1]南京航空航天大学灰色系统研究所 [2]滑石大学数学系 [3]德蒙福特大学计算智能中心

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2012年第2期103-111,共9页南京航空航天大学学报（英文版）

基　　金：Supported by the Joint Research Project of Both the National Natural Science Foundation of Chinaand the Royal Society(RS)of UK(71111130211);the National Natural Science Foundation of China(90924022,70971064,70901041,71171113);the Major Project of Social Science Foundation of China(10ZD&014);the Key Project of Social Science Foundation of China(08AJY024);the Key Project of Soft Science Foundation of China(2008GXS5D115);the Foundation of Doctoral Programs(200802870020,200902870032);the Foundation of Humanities and Social Sciences of Chinese National Ministry of Education(08JA630039);the Science Foundation ofthe Excellent and Creative Group of Science and Technology in Jiangsu Province(Y0553-091);the Foundation of Key Research Base of Philosophy and Social Science in Colleges and Universities of Jiangsu Province(2010JDXM015);the Foundation of Outstanding Teaching Group of China(10td128)~~

摘　　要：The progress of grey system models is reviewed, and the general grey numbers, the grey sequence op- erators and several most commonly used grey system models are introduced, such as the absolute degree of grey incidence model, the grey cluster model based on endpoint triangular whitenization functions, the grey cluster model based on center-point triangular whitenization functions, the grey prediction model of the model GM （ 1,1）, and the weighted multi-attribute grey target decision model.针对灰色系统模型的研究进展进行了综述,介绍了一般灰数的概念、灰色序列算子和一些常用的灰色系统模型,包括灰色绝对关联度模型、灰色相对关联度模型、基于端点三角白化权函数的灰色聚类评估模型、基于中心点三角白化权函数的灰色聚类评估模型、GM(1,1)预测模型以及多目标加权灰靶决策模型。

关 键 词：grey system theory general grey numbers grey sequence operators grey system models 

分 类 号：N941.5[自然科学总论—系统科学]