反向累加生成绝对灰度性质及其在灾害事件预测中的应用OA北大核心CSTPCD

In order to study the variation of the absolute grey degree of reverse accumulation generates sequences,the general expression of the integer order reverse accumulation generates sequences absolute grey degree and its related properties are derived based on the class ratio relationship between the original sequence and its reverse accumulation generates sequences.The application effect of the backward-accumulative grey model incorporating absolute grey degree to the prediction of sudden-onset disasters is discussed in the context of practical problems.The results show that when the absolute grey degree of the original sequence is greater than 0.6,the reverse cumulative generation can effectively reduce the absolute grey degree of the sequence.When the absolute grey degree of the original sequence is less than 0.25,the reverse cumulative generation increases the absolute grey degree of the sequence.The findings of the study provide a reference for the model selection and data pre-processing of grey modeling in practical problems.