摘要
针对动态多指标系统的决策特点 ,对指标数据初始化处理时 ,利用“奖优罚劣”原则 ,提出了一种易于计算且实用的 [- 1,1]线性变换算子 ,用此方法寻求各时段的正、负理想方案 ,建立一种新的基于动态多指标灰色关联分析决策模型 ,在模型中充分考虑了各指标在系统中的成长特性 ,将此特性用于灰色关联分析 ,为动态多目标决策问题提供了一种科学、实用的方法 ,并利用现有的实例来证实此方法的科学性与可行性。
Based on the decision character of the dynamic multiple-attribute sy stem, in initializing the attribute data, a new linear changing operator in [-1 ,1], which is easy to compute and be applied, is proposed. By this method to find th e p ositive and negative ideal precept of each period, a new grey inc idence decision model of the dynamic multi\|attribute is establishod. In this mo del, the developing character of each attribute in the system is fully consider, and applied to grey incidence analysis. All of the above provide a scientific and applied decision method for the dynamic multiple-attribute decision problems. Lastly, this method is demonstrated to be scientific and effective with a practical example.
出处
《中国工程科学》
2005年第2期69-72,共4页
Strategic Study of CAE
基金
国家教育部博士点基金资助项目 (2 0 0 2 0 2 870 0 1)
江苏省自然科学基金重点资助项目 (BK2 0 0 3 2 11
关键词
灰色关联分析
多指标决策
模型
grey incidence analysis
multi-attribute decision
model
