Multi-attribute decision making for deep learning-based typhoon disaster assessment

被引:1
|
作者
Li, Dongmei [1 ]
Yang, Lehua [2 ,3 ]
Liu, Shaojun [4 ]
Tan, Ruipu [2 ,3 ]
机构
[1] Fujian Jiangxia Univ, Coll Foreign Languages, Fuzhou, Fujian, Peoples R China
[2] Fujian Jiangxia Univ, Coll Elect & Informat Sci, Fuzhou, Fujian, Peoples R China
[3] Res Inst Data Anal & Intelligent Decis Making, Fuzhou, Fujian, Peoples R China
[4] China Inst Sci & Technol Informat, Fuzhou, Fujian, Peoples R China
关键词
Deep learning; interval-valued neutrosophic numbers; multi-attribute decision making; typhoon disaster; MADM; SET;
D O I
10.3233/JIFS-235315
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Emergency rescue decisions in case of a typhoon disaster can be considered multi-attribute decision-making problems. Considering the need for the timeliness and authenticity of decision-making information sources after such a disaster, this study proposed using learning methods to process real-time online data and interval-valued neutrosophic numbers (NNs) to express the classification results. Using Typhoon Hagupit as an example, a trained text classification model was used to classify real-time data (online comments), following which the classification results were used as weights to convert these data into interval-valued NNs. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) method was adopted to rank the extent of damage caused by the typhoon in each region; the sorting results were consistent with the official statistical data, proving the effectiveness of the proposed method. A detailed sensitivity analysis was conducted to determine the optimal parameter settings of the classification model. Furthermore, the proposed method was compared with existing methods in terms of data conversion and deep learning efficiency; the results confirmed the superior capabilities of the proposed method. Notably, the proposed method can provide support to disaster management professionals in their post-disaster emergency relief work.
引用
收藏
页码:6657 / 6677
页数:21
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