Average-Based Fuzzy Time Series Markov Chain Based on Frequency Density Partitioning

Fuzzy time series (FTS) is one of the forecasting methods that has been developed until now. The fuzzy a method uses concept logic, which Song and Chissom first introduced. Markov chain in defuzzification. determination length interval plays an important role forming logic relationship (FLR), this FLR will be used to determine value. One can average-based. However, several studies use partitioning based on frequency density obtain optimal get better accuracy. This study combines chain, Average-based series, become average-based Frequency Density Partition conducts redivided intervals method. implemented Indonesian Islamic stock index (ISSI) for selected period. calculation accuracy level using mean square error (MSE) average percentage (MAPE) shows chain-based partition high forecasting.