摘要
粒度决策演化模型是基于经典粗糙集之上在时间序列上的扩展,是对决策在时间序列上的演化进行的讨论。粒度决策演化模型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着时间变化时的演化规律,是一种新的决策研究方法。虽然在应用方面粒度决策演化模型有着独特的优势,但对于属性的分类粒度决策演化模型并没有给出清晰的说明。本文在粒度决策演化模型的基础上提出决策演化集,并对决策演化集在应用上的效果展开研究。
Evolution model of granular decision is an extension over time series sets based on classical rough set. Its purpose is to investigate the law of decisions on time series. Evolution model of granular changes the focus from static decision information system to dynamic time series for studying the regula-tions of evolution in decision information system which change with the time. It is a new research method for decision information system. Evolution model of granular decision has unique advantages in real ap-plication,but does not have clear description on the classification of attributes. This paper gives a concept for decision evolution sets based on evolution model of granular decision, and investigates its effects in application.
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2013年第3期23-29,共7页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(60873104
61040037)
河南省教育厅自然科学基金资助项目(2008B520019)
河南省科技厅科技攻关重点项目(112102210194)
关键词
粗糙集
粒度决策
时间序列
决策演化
rough sets
granular decision
time series
deeision evolution
