文献类型：期刊文献

英文题名：Pre-assessment for ice disaster in Ning-Meng reaches of the Yellow river based on improved TOPSIS under three-parameter interval grey number

作者：Wang, Xia[1]

第一作者：王霞

通讯作者：Wang, X[1]

机构：[1]Henan Univ Econ & Law, Coll Business Adm, Zhengzhou 450046, Peoples R China

第一机构：河南财经政法大学工商管理学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Coll Business Adm, Zhengzhou 450046, Peoples R China.|[104843]河南财经政法大学工商管理学院;[10484]河南财经政法大学;

年份：2022

卷号：83

外文期刊名：INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION

收录：;Scopus(收录号：2-s2.0-85142129579);WOS:【SCI-EXPANDED(收录号:WOS:000892342100013)】；

基金：This work was generously supported by National Natural Science Foundation of China (grant number 51979106) , Science $&$ Technology Innovation Talents in Universities of Henan Province [grant number 20HASTIT024] , and the Outstanding Youth Science Foundation Project of Henan Province [grant number 222300420022] .

语种：英文

外文关键词：Ice disaster; Pre-disaster pre-assessment; Improved TOPSIS; Three-parameter interval grey number

摘要：The occurrence of ice disasters in Ning-Meng Reaches of the Yellow River in China is affected by a variety of factors. The interaction between the factors has a certain degree of uncertainty. It is a complex multi-factor interaction process. So pre-disaster assessment to improve the effectiveness of prevention and mitigation is essential. To address such a challenging problem, three critical contributions are provided in this paper. First, according to the value characteristics of the three -parameter interval grey number, aiming at the grey characteristics of ice disasters, the concept of compatibility degree of the three-parameter interval grey number is defined. Second, according to the "new information priority principle" of grey system theory, an optimized model based on variable coefficient and time degree is built to determine the weight of the time point. Finally, the shortcomings of the classical Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are analyzed. Combined with the compatibility degree of the three-parameter interval grey number, the weighted relative compatibility degree of the scheme is defined; the scheme is sorted according to the weighted relative compatibility degree. To verify the efficacy and practicality of this proposed model, data sets from the ice disaster data (2014-2020) are em-ployed in the experiments. The experimental results show that the decision results of the im-proved TOPSIS method are more consistent with the actual situation than the results of the classi-cal TOPSIS method. Moreover, the improved TOPSIS method can be applied to the case where the decision information is a three-parameter interval grey number and to the case where the deci-sion information is a real number. It shows that the modified TOPSIS method has a wider applica-tion range than the classical TOPSIS method. The rationality of the results is analyzed based on the evaluation results, which provides a better reference for improving the prevention and man-agement of ice disasters.