Analysis of medical rescue strategies based on a rough set and genetic algorithm: A disaster classification perspective

被引：8

作者：

Li, Tanshi ^{[1
]}

Li, Zhuyi ^{[2
]}

Zhao, Wei ^{[1
,3
]}

Li, Xueyan ^{[4
]}

Zhu, Xin ^{[4
]}

Pan, Shuxiao ^{[3
]}

Feng, Cong ^{[1
]}

Zhao, Yuzhuo ^{[1
]}

Jia, Lijing ^{[1
]}

Li, Jing ^{[3
]}

机构：

[1] Chinese Peoples Liberat Army Gen Hosp, Beijing, Peoples R China

[2] Natl Univ Singapore, Ind Syst Engn & Management, Singapore, Singapore

[3] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China

[4] Beijing Union Univ, Management Sch, Beijing, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION | 2020年 / 42卷

基金：

中国国家自然科学基金;

关键词：

Disaster; Medical rescue; Rough set; Genetic algorithm; Classification; MODEL; DIAGNOSIS;

D O I：

10.1016/j.ijdrr.2019.101325

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Quantitative research on disaster medical rescue from the perspective of disaster classification can provide a more accurate decision-making foundation for disaster medical rescue management. In this study, the medical features caused by various types of sudden disasters are utilized as the starting point to construct a disaster medical rescue decision table based on the rough set theory. Then, a genetic algorithm is used to analyze the common points of various disaster medical features upon which many disasters are classified. The common features and personality features of disaster medical rescue operations are explored, and systematic recommendations are proposed for medical emergency rescue management based on these features of disaster classification. These results provide theoretical support for the design of disaster relief classification standards, actual plans, and rescue work.

引用

页数：15

共 50 条

[31] An Algorithm for Attribute Reduction Based on Classification of Condition Attributes in Rough Set
Wan Rong
Yan Ruixia
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5534 - 5537
[32] Rough Set based Ensemble Learning Algorithm for Agricultural Data Classification
Shi, Lei
Duan, Qiguo
Zhang, Juanjuan
Xi, Lei
Qiao, Hongbo
Ma, Xinming
FILOMAT, 2018, 32 (05) : 1917 - 1930
[33] A New Rough Set Based Classification Rule Generation Algorithm(RGA)
Feng, Honghai
Chen, Yanyan
Zou, Kaiwei
Liu, Lijuan
Zhu, Qiannan
Ran, Zhuo
Yao, Li
Ji, Lijin
Liu, Sai
MODERN ADVANCES IN APPLIED INTELLIGENCE, IEA/AIE 2014, PT I, 2014, 8481 : 369 - 378
[34] A new rough set based classification rule generation algorithm (RGI)
Feng, Honghai
Chen, Yanyan
Ni, Qing
Huang, Junhui
2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), VOL 1, 2014, : 380 - 385
[35] Research on the convergence of fuzzy genetic algorithm based on rough classification
Li, Fachao
Yue, Panxiang
Su, Lianqing
ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 792 - 795
[36] Research on Decision Tree Algorithm Based on Rough Set in Medical System
Huang Yuying
Yang Qing
Wu Tianzhen
ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2008, : 77 - 80
[37] A Taxation Attribute Reduction Based on Genetic Algorithm and Rough Set Theory
Xu Linzhang
Han Zhen
Zhang Yanning
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS, 2008, : 2881 - 2884
[38] Color image enhancement based on rough set and adaptive genetic algorithm
1600, CESER Publications, Post Box No. 113, Roorkee, 247667, India (51):
[39] The discretization of continuous attributes based on compatibility rough set and genetic algorithm
Sun, LX
Gao, W
NEW DIRECTIONS IN ROUGH SETS, DATA MINING, AND GRANULAR-SOFT COMPUTING, 1999, 1711 : 188 - 192
[40] Rough Set Knowledge Reduction Approach Based on Improving Genetic Algorithm
Yan Feng
Gui Weihua
Chen Yong
Xie Yongfang
Ren Huifeng
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 1967 - 1971

← 1 2 3 4 5 →