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决策演化集是处理决策规则在时间序列上演化问题的理论,它将着眼点从静态决策信息系统转移到动态时间序列上,研究决策信息系统随时间变化的演化规律,是一种新的决策规则研究方法。目前,在决策演化集的标准结构下,其定义的演化轨迹是一个很难描绘的n维空间图形,所以本文提出了膜结构重新描述决策演化集,在膜结构下,被约简掉的属性同样会获得重视。在当时间从ti-1进入ti时,属性根据自身对决策的影响而进入不同的膜,同时所产生的数据流动也被标记出来,从而解决了决策信息系统演化轨迹具象化的问题,并通过实例演示了决策信息系统的演化过程和轨迹。
Decision-making evolution set is a theory to deal with the evolvement of decision rules in time series. It shifts the focus from static decision-making information system to dynamic time series, and studies the evolution rule of decision-making information system over time. It is a new decision rule Research methods. At present, under the standard structure of decision-making evolution set, the evolution trajectory of its definition is a n-dimensional space graph that is difficult to describe. Therefore, this paper proposes the re-description of evolutionary set of membrane structure, The same will receive attention. At the time when ti enters ti from ti-1, the attributes enter into different films according to their influence on decision-making, and the data flow generated is also marked, which solves the problem of visualization of the evolution trajectory of decision-making information system The examples demonstrate the evolution and trajectory of decision information system.