Meta - information generation and maintenance ) , which will lessen the cost of data pre - processing . rough decision support method is proposed to overcome the disadvantages described in the second observation 论文还针对现存粗糙集方法在规则约简过程中决策表的决策支持能力损失问题,提出粗糙决策支持方法以弥补现存方法的不足。
The rough decision support method is a family of rough set method for decision support , which include decision support methods based on condition vector , methods for additional condition vector acquisition , and methods for condition vector reduction 基于条件向量的决策支持方法能够通过条件向量或相似条件向量,为决策者提供某条件组合的推荐决策,并给出决策强度、支持度等决策信息,从而达到决策支持的目的。
Data mining , also named as kdd ( knowledge discovery in database ) , is a decision support method in which we can pick up many connotative , unkn - own , potential and useful knowledge or information mode from database or data warehouse . the knowledge that is discovered by means of data minning can reflect a certain facts and guide practice 数据挖掘( datamining ) ,又称知识发现,是利用各种分析工具在存放海量数据的数据库或数据仓库中提取隐含的、先前未知的、潜在有用的知识或信息模式的决策支持方法。通过数据挖掘发现的知识能够反映一定的客观事实,并指导实践。