ラフ集合を用いた時系列解析

概要

論文の詳細を見る
In this paper, a forecasting analysis for time series data is put in operation using the rough sets theory. In the rough sets theory imprecise or rough information can be analyzed by using the fundamental concept of classification and approximation. Chaotic time series data, to which the rough sets theory are applied, are studied about the possibility of forecasting with the reliability of the decision rules, the dependency degree and the quality of learning. It was shown that the time series data, an example used in this paper, could be sufficiently forecasted though some decision rules were inconsistent at a few time points.