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

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3 Author(s)
Bo Zeng ; College of Economics and Management, Xuchang University, 461000, China ; Si-feng Liu ; Jian Li

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.

Published in:

Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services

Date of Conference:

15-18 Sept. 2011