A model to forecast the matched-degree between staffs and jobs
Yuchen Ouyang, Hong Mo, Fan Peng, Dan Tan · 2014
In the paper, a scheme is proposed to predict whether the new employees could match their jobs or not, and discrete interval type-2 fuzzy set on time-varying universe is used for evaluating the experts' view of the employees' performance. The evaluation results are sent into a BP neural network to get the predicted value. Finally, the Markov model is adopted to revise the result and achieve a final forecasting result. By using Markov model, the result is more accurate than BP neural network.