An Improved Grey-Markov Chain Method with an Application to Predict the Number of Chinese International Airlines

This paper proposes an improved Grey-Markov forecasting dynamic method based on unbiased grey system theory and fuzzy classification. The new forecasting method is named unbiased Grey-fuzzy-Markov Chain method, which can take advantage of the prediction power of conventional Grey-Markov forecasting method and at the same time eliminate grey bias and improve anti-jamming performance. As an example, we use the statistical data of the number of Chinese international airlines from 1987 to 2006 for a validation of the feasibility and practicability of the improved Grey-Markov forecasting model.