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Purpose
The proposed model can emphasize the priority of new information and can extract messages from the first pair of original data. The comparison results show that the proposed model can improve the traditional grey model.
Design/methodology/approach
The grey multivariate model with fractional Hausdorff derivative is firstly put forward to enhance the forecasting accuracy of traditional grey model.
Findings
The proposed model is used to predict the air quality composite index (AQCI) in ten cities respectively.
Originality/value
The effect of population density on AQCI in cities with poor air quality is not as significant as that of the cities with better air quality.
© Emerald Publishing Limited
2020
Emerald Publishing Limited
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