摘要
模型分解是减小系统复杂程度、降低仿真运行代价的有效手段．当前许多定性仿真理论，由于仿真代价过高等原因而难以处理大规模系统．针对这种状况，文中对定性理论中常见的因果关系有向图形式表示的结构模型，给出一种模型分解方法，通过实例给出了具体的分解过程。
Model decomposition is an effective way to reduce system complexities and cut down simulation costs.Many qualitative theories can hardly deal with large scale systems because of high costs.To solve this problem,a method of model decomposition is given for structure models in the form of directed graph of causality that is common in qualitative theories.An example is also given and the method is compared with other similar methods.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1998年第8期709-713,共5页
Journal of Computer Research and Development
基金
国家自然科学基金
关键词
定性仿真
定性建模
模型分解
有向图
qualitative simulation,qualitative modeling,model decomposition
