摘要
模糊多目标决策方法是并行工程初期产品总体设计方案选择的一种有效方法,但该方法必须进行一系列繁杂的推导过程。而在此提出的神经网络学习方法,只要对已有方案的模糊决策结果进行学习,就能得到同类产品其它方案满足于总体设计目标准确的隶属度值。通过YP—CIMS开发早期的多目标决策,证实了该方法的准确性和有效性。
The multi-target fuzzy dicision is efficient in the choice of products' overall design scheme in theearly stage of the concurrent engineering design. However, according to this method , a trivial process must be followed. Following the neural-network (NN) study method in this paper, the quality of the other schemes of the same product after learning the results of fuzzy decision can be judged efficiently. The effec-tiveness of the NN learning method is proved in the early stage decision of YP -CIMS.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第5期610-613,共4页
Control and Decision
基金
国家自然科学基金高技术探索资助项目
关键词
并行工程
神经网络
多目标决策
CIMS
concurrent engineering, neural network,multi-target decision
