摘要
针对决策活动中一些指标权重确定方法存在的不足,根据粗糙集理论,在不同前提条件下给出了依参数重要度和知识依赖度计算指标客观权重的算法,结合古林法得到更加理想的综合权重结果.最后,以在淘宝网网上购物的决策选择为例,分析了基于粗糙集理论的指标综合权重结果的精确性和适用性.
In order to determine attribute weights in multiple attribute decision making,this paper analyzes the limitations of the present approaches to determine weights of attributes,proposes a PIW(parameters of importance weights)and a KDW(knowledge dependence weights)objective weight calculation methods based on rough sets theory,obtains an ideal comprehensive weight combining A.J.Klee.Finally,a decision choice of shopping on Taobao is analyzed,in which the accuracy and applicability of the comprehensive weight based on rough sets theory are illustrated.
作者
朱海燕
ZHU Haiyan(School of Mathematics and Information Engineering,Lianyungang Normal College,Lianyungang 222006,China)
出处
《淮海工学院学报（自然科学版）》
CAS
2018年第4期6-9,共4页
Journal of Huaihai Institute of Technology:Natural Sciences Edition
关键词
粗糙集
权重
参数重要度
知识依赖度
rough sets
weights
importance of parameters
knowledge dependence
