An interval combination prediction model based on Hellinger distance and IOWC-GOWA operators
For the combined prediction of interval data,this paper introduces Hellinger distance,an indi-cator in statistics to measure the similarity between two probability density functions,as the optimization criterion for constructing a combination prediction model,and converts the two-dimensional interval num-ber sequence into a one-dimensional real number sequence on the basis of the constructed generalized or-dered weighted continuous interval(IOWC-GOWA)operator,and establishes a new interval number com-bination prediction model,and conducts comparative analysis through actual data.The validity of the model is verified.The results show that compared with the single prediction method,the combined prediction model can effectively improve the prediction accuracy and is a superior combined prediction model.
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