Fuzzy Time Series for Projecting School Enrolment in Malaysia

There are a variety of approaches to the problem predicting educational enrolment. However, none them can be used when historical data linguistic values. Fuzzy time series is an efficient and effective tool deal with such problems. In this paper, forecast enrolment pre-primary, primary, secondary, tertiary schools in Malaysia carried out using fuzzy approaches. A model developed dataset collected from United Nations Educational, Scientific, Cultural Organization (UNESCO) year 1981 2018. complete procedure proposed which includes: fuzzifying dataset, developing model, calculating interpreting outputs. The accuracy also examined evaluate how good forecasting is. It tested based on value mean squared error (MSE), Mean Absolute Percent Error (MAPE) Deviation (MAD). lower measure, higher model. result shows that for primary school enrollments most accurate lowest MSE being 0.38, MAPE 0.43 MAD respectively.