New Strengthening Buffer Operators Based on Adjustable Intensity and Their Applications

摘要

Under the axiomatic system of buffer operator in grey system, a kind of strengthening buffer operators whose buffer intensity can be adjusted are constructed. Meanwhile, their characters are studied. In view of different modeling background, data sequences with different strengthening effect can be generated by adjusting the parameters of the strengthening buffer operator. Practical examples show that these new strengthening buffer operators can effectively improve the forecasting accuracy of GM (1,1) model The new strengthening buffer operators can solve the problem that the quantitative prediction results do not tally with the qualitative analysis.