决策演化集的卷积预测

Convolution forecast of decision evolution set

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,它将着眼点从静态的决策信息系统转移到动态的时间序列上,研究决策信息系统随时间变化时的演化规律,是一种新的决策规则研究方法.在决策演化集理论体系下预测规则伴随实际规则产生,因此预测规则必然对实际规则产生影响.为了解释预测规则和实体规则之间的相互关系,引人卷积方法,在时间序列上构建预测规则和实际规则的演化混合矩阵,并利用该矩阵对决策信息系统进行预测分析.

Decision evolution set is a theory to deal with evolution problem of decision rules in time series.Decision evolution set transfers the focus from static decision information system to dynamic time series,which is a new decision research method to study the evolution regulations in decision information system following the time variation.In the decision evolution set theory system,the forecast rules are accompanied by the real rules,so that the forecast rules inevitably have an impact on the real rules.In order to explain the relationship between forecast rules and real rules,in this paper,the convolution method is used to construct the evolution mixed matrix of forecast rules and real rules on time series,and the matrix is used to forecast and analyze the decision information system.