摘要
粒度决策演化模型是粗糙集基于时间序列对动态数据进行预测的一种方法。在处理动态数据方面,该模型有着较好的效果。但是在预测之后的下一个时间点ti+1得到的实际决策fi+1与预测得到的决策f′i+1出现不相同情况时,其未说明如何处理这种冲突模型。在粒度决策演化模型的基础上引入进化博弈论方法,将实际决策fi+1与预测得到的决策f′i+1组成博弈矩阵,通过计算决策收益来判断粒度决策在时间点ti+1时的演化是否稳定。
Evolution model of granular decision is a method based on time series data of rough set in dynamic prediction which has good effects on dealing with dynamic data.But after the forecast,the next timing ti＋1 gets an actual decision fi＋1 which is different from the decision f′i＋1 that we calculate.The solution of how to deal with this conflict mode is not illustrated.Therefore,this paper introduced game theory into the evolution model of granular decision to solve the conflict.The actual decision fi＋1 and the calculated decision f′i＋1 compose game matrix,and calculating the decision bene-fit can judge the evolution of granular decision is stable or not at the time ti＋1.
出处
《计算机科学》
CSCD
北大核心
2012年第12期233-236,共4页
Computer Science
基金
国家自然科学基金(60873104
61040037)
河南省教育厅自然科学基金(2008B520019)
河南省科技厅科技攻关(重点项目)(112102210194)资助
关键词
粗糙集
粒度决策
决策稳定性
进化博弈论
Rough set
Granular decision
Decision stability
Evolutionary game theory
