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Due to there are some jumping errors from difference equation to the differential equation in the prediction model of interval grey number, constructs an unbiased interval grey number prediction model with new information priority. Firstly, obtains a set of linear equations about the model parameters by taking the minimum sum of squares of errors between the accumulative sequence and its simulation values as criterion, and solves them based on the Crammer rule. Then, according to the new information priority principle, selects the last number of the accumulated generation sequence as the initial value and gives the expression of the time response function by the recursive iteration method to establish the interval grey number prediction model. Finally, compares the proposed model with the existing method by using an example analysis. The result shows that the model has higher prediction accuracy.

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This page is a summary of: Study on unbiased interval grey number prediction model with new information priority, Grey Systems Theory and Application, October 2019, Emerald,
DOI: 10.1108/gs-06-2019-0018.
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