1) Decision Tree Pruning
决策树剪枝
2) decision
决策
1.
Application of hierarchy comprehensive decision on bid evaluation in mine construction engineering;
层次综合决策在矿山工程项目评标中的应用
2.
Research on clothing outsourcing decision process;
服装业外包决策流程的研究
3.
Real time visible decision system while drilling for oil and gas well;
油气井随钻实时可视决策系统
3) decision making
决策
1.
Multi-objective decision making approach based on entropy weights for reservoir flood control operation;
基于熵权的水库防洪调度多目标决策方法及应用
2.
Improved decision making method based on fuzzy consistent matrix and its application;
改进的模糊一致矩阵决策方法及其应用
3.
Fuzzy multifactor decision making method on setting colleges;
高等学校设学布点模糊多因素决策方法
4) decision-making
决策
1.
Study on Decision-making of Feature Process Method Based on Fuzzy Synthetic Judgment;
基于模糊综合评判的零件特征加工方法决策研究
2.
The hierarchical model of the decision-making on coal target market;
煤炭目标市场决策的层次模型
3.
Research on a sort of method about integrating multi-objective decision-making and appraising based on the investment of the risk;
基于风险投资的多指标综合决策评价方法研究
5) policy decision
决策
1.
Making a policy decision of tender in the bids and tenders for engineering;
建设项目招投标中标价分析与决策
2.
Preliminary design of supporting sys tem for soil moisture measuring and drought resisting policy decision in Liaoning province;
辽宁省土壤墒情测报与抗旱决策支持系统初步设计
3.
Policy Decision Method of Road Machinery Economic Life and Maintenance Cycle;
筑路机械经济寿命和维修周期的决策方法
6) strategy
决策
1.
Analysis and discussion on the enterprise investment strategy;
关于企业投资决策问题的分析与探讨
2.
With the development of systems engineering and wide use of optimized design,higher demands are put forward on strategy methodology.
系统科学的发展和最优化设计的广泛运用 ,对决策方法学提出了更高的要求 ,特别是评价因素的量化、消除主观因素的干扰以及如何综合评判等 ,更是应当解决的问题。
参考词条
补充资料:决策树
分子式:
CAS号:
性质: 一种可用于处理多阶段决策问题的决策图。由于这种图形似树枝,故称为决策树。它由决策点,方案技,概率点(又称状态点),概率枝(又称状态枝)顺序延伸而成,最右端是益损值见图(图暂缺)。决策时,从右至左,先算出各个概率点的益损期望值,并分别标注在各概率点上。然后对各概率点(即方案)的益损期望加以比较,即选出最大的益损期望值并标注在决策点的上方、与最大期望值相应的即为最优方案,然后决定解的去留,直到最后找到选好解。
CAS号:
性质: 一种可用于处理多阶段决策问题的决策图。由于这种图形似树枝,故称为决策树。它由决策点,方案技,概率点(又称状态点),概率枝(又称状态枝)顺序延伸而成,最右端是益损值见图(图暂缺)。决策时,从右至左,先算出各个概率点的益损期望值,并分别标注在各概率点上。然后对各概率点(即方案)的益损期望加以比较,即选出最大的益损期望值并标注在决策点的上方、与最大期望值相应的即为最优方案,然后决定解的去留,直到最后找到选好解。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。