辽宁工程技术大学学报（自然科学版）2024，Vol.43Issue(3)：288-295,8.DOI:10.11956/j.issn.1008-0562.20230203
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
Nature of absolute grey degree generated by inverse accumulation and its application in disaster event prediction
摘要
Abstract
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.关键词
反向累加生成/绝对灰度/灰色模型/新信息优先/突发灾害事件预测Key words
reverse accumulation/absolute grey degree/grey model/new information priority/prediction of sudden disaster events分类
自科综合引用本文复制引用
陈紫维,赵守江,刘军,崔盛..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[J].辽宁工程技术大学学报（自然科学版）,2024,43(3):288-295,8.基金项目
国家自然科学基金项目(11601267) （11601267）
宜昌市科技计划项目(A21-3-018) （A21-3-018）
