关键词: 粗糙集, 粒度决策, 决策演化, 三支博弈

Abstract: Decision evolution sets is a theory to deal with evolution problem of decision rules in time series. Decision evolution sets transfer the focus from static decision information system to dynamic time series, which is a new decision research method to research the evolution regulations in decision information system following the time variation. At present, the standard structure of decision evolution sets has some questions, for example, less forecast attributes, bigger forecast angel. The three-way structure of decision evolution sets is a good way to improve the prediction accuracy, but the threshold α and β are fixed. However, in the time series data is constantly changing, fixed α and β cannot adapt to these changes. This paper uses game theory methods to adjust α and β to adapt to the changing in time series, and uses an example to show the adaption.

Key words: rough sets, granular decision, decision evolution, game of three-way structure