摘要
探索性分析是一种面向战略权衡和顶层论证的决策分析方法。探索性分析模型是一种对研究问题高层抽象的低分辨率模型,一般情况下采用基于变量的方法建模,分析模型中的节点变量是问题抽象中的关键因素,变量间通过有向弧来表示其依赖关系。专家知识和经验在宏观决策中具有重要作用,cfhfg探索性分析建模采用问题分析树、目标定向方法等构建分析模型、基于关键因素的定性建模和主动元建模等方式将定性知识、仿真数据与定量分析模型有机结合起来,并解决高层策略分析问题。
Exploratory Analysis is a system analysis methodology for high level decision - making. Exploratory A- nalysis Model consists of nodes and directed arcs. Nodes denote the important variables and directed arcs denote one variable depending on the others. Expert knowledge and experience are important for high level decision - making, Combining Qualitative and Quantitative Knowledge in analytical Model through problem analytic tree, object direc- tional analytical Modeling, qualitative modeling for key factor and motivated metamodels to solve high level decision - making.
出处
《计算机仿真》
CSCD
北大核心
2009年第10期87-89,288,共4页
Computer Simulation
关键词
定性定量结合
探索性分析建模
主动元模型
探索性分析
Combining qualitative and quantitative
Exploratory analysis modeling
Motivated meta- models
Exploratory analysis methodology
