摘要
讨论了在加权和方法中引入变权的必要性和合理性.以决策变量之和作为变权向量的自变量,利用属性坐标学习获得变权向量,建立了一种基于属性坐标学习和分析的变权的加权和决策模型,并给出了应用的例子.
The necessity and reasonableness of introducing variable weight in the weighted sum model were summarized. The sum of decision variables is as the independent variable of variable weights. The way to get variable weight with attribute coordinate system was given. Then a weighted sum decision-making model with variable weight based on the attribute coordinate system with its application was established.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2006年第9期1610-1612,1616,共4页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(60075016)
上海市重点学科建设项目(T0602)
关键词
加权和
变权
属性坐标
决策
weighted sum
variable weight
attribute coordinate
decision making
