A error inspection method for interval grey number prediction model based on kernel and interval length

This paper aims to solve the error inspection problem of interval grey number prediction model. On the conditions of not-destroying the independence and integrity of an interval grey number, this paper discusses a novel error inspection method that employs the residual error sequences of kernel and interval length to inspect the availability of an interval grey number prediction model, as well as the detailed testing procedure is given in details. The research in this paper has an important significance to systematically study relevant research issues of interval grey number prediction models.