DocumentCode :
130995
Title :
A spatial awareness case-based reasoning approach for typhoon disaster management
Author :
Xi Zhou ; Fei Wang
Author_Institution :
Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
fYear :
2014
fDate :
27-29 June 2014
Firstpage :
893
Lastpage :
896
Abstract :
Knowledge learning from similar historical cases is critical for emergency decision making against typhoons. Case-based reasoning technology is increasingly adopted to find the appropriate disaster cases matched to current typhoons. However, the matching results is not satisfying. The reasons are that the typhoon disaster case repository is lacking in a unified and comprehensive specification and that the important spatial attributes of cases are often overlooked or simply described. Based on the investigation of practical typhoon cases, a novel approach is proposed to define the case with explicit and comprehensive spatial multi-elements. With the spatial analysis function and the data management capabilities of GIS, the spatial awareness CBR method is discussed. Lastly, a framework of applying the prosed method to Guangdong Emergency Platform System for testifying is introduced.
Keywords :
case-based reasoning; decision making; emergency management; geographic information systems; learning (artificial intelligence); storms; GIS; Guangdong emergency platform system; comprehensive spatial multi-elements; data management capabilities; disaster cases; emergency decision making; explicit spatial multi-elements; knowledge learning; spatial analysis function; spatial awareness CBR method; spatial awareness case-based reasoning approach; typhoon disaster case repository; typhoon disaster management; Cognition; Disaster management; Floods; Geographic information systems; Sociology; Statistics; Tropical cyclones; Case-based reasoning (CBR); GIS; spatial awareness; typhoon disaster management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4799-3278-8
Type :
conf
DOI :
10.1109/ICSESS.2014.6933709
Filename :
6933709
Link To Document :
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