The essence of weakening buffer operator is proved.Multi-variable weakening buffer operator is put forward.Four real case studies show that proposed multi-variable weakening buffer operator has higher forecasting performances. To weaken the disturbances of multi-variable and reveal the real situation, it is proved that the essence of the weakening buffer operator (abbreviated as WBO) can weaken the disturbance of one variable. According to this, the multi-variable weakening buffer operator is put forward. The multi-variable weakening buffer operator can satisfy the desire to use the freshest data and its buffer effect is obvious when the sample size is small. Four real cases show that the proposed multi-variable weakening buffer operator has higher forecasting performances.
['Lifeng Wu', 'Sifeng Liu', 'Yingjie Yang', 'Lihua Ma', 'Hongxia Liu']
Multi-variable weakening buffer operator and its application