Application of Automatic Clustering and Fuzzy Time Series Type-2 in Indonesia Composite Index
Forecasting the Indonesia Composite Index (ICI) is one of the important efforts in making investment decisions in the capital market. This index helps investors see changes in stock prices directly, making it easier to know whether stock prices are rising or falling. In this research, a combined approach between Fuzzy Time Series (FTS) Type-2 and […]
