摘要
研究了目标优先级无法凭经验确定条件下多目标决策问题，提出了一种合理选择权重的方法。该方法以线性加权法为基础，通过引入能量函数概念来模拟决策过程，导出了非劣解演化方程和权重学习规则，并结合算例进行了实例分析，结果表明了该方法具有一定的实用价值。
In this paper, a method of weights selected rationally is presented, provided that objective priority level is impossible to be determined by the previous experience. Based on the linearity weights, the energy function is used to simulate decision-making procedures.The evolution equation of the non inferior solutions and learning rule of weights is derived.It is proved from a analysis of the example that the method has a practical value to some extent.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
1996年第11期44-50,共7页
Systems Engineering-Theory & Practice
关键词
权重修正
多目标决策
线性加权
决策
weights improvement
multiobjective
decision making
linearity weights
