Abstract
Since the introduction of the grey forecasting model, various improvements have been developed in the field of grey accumulated generating operators (AGOs). Fractional accumulated generating operator (FAGO) and other novel AGOs have enriched the grey theory and expanded its application scope. Nevertheless, limited attention has been given to interrelationships and contributions of new and old information. To fill this research gap, this study employed the DEMATEL method to calculate the influence degree of samples under different grey AGOs. Additionally, the pattern of influence degree variation with respect to the accumulation order was determined. The results demonstrate that, compared to traditional first-order AGO, FAGO and its corresponding grey forecasting models can effectively utilize the advantages of new information by altering the accumulation order.
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