Abstract
In this paper, we apply multivariable fuzzy time series models to forecast numbers of teachers in vocational high school. The empirical result of analyzing here can be concluded as follows: The error of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is the smallest, multivariable fuzzy time series models is the second smallest, and grey forecasting is the third smallest. The multivariable fuzzy time series Heuristic model is the easiest method to follow.
| Keywords: | multivariable fuzzy time series models; Adaptive Neuro-Fuzzy Inference Systems; grey forecasting |
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