Title :
Notice of Retraction
Research on the IDSS of unconventional emergency management based on Scenario Analysis and CBR
Author :
Yuan Xiaofang ; Li Hongxia
Author_Institution :
Key Lab. of Western, Xi´an Univ. of Sci. & Technol., Xian, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Unconventional emergency shows typical unconventionality. Its occurrence, development, evolution mechanism are very complicated, and it may touch off serious derivative disasters. So the emergency management pattern of unconventional emergency has to change from “Predict-Response” to “Scenarios-Response”. This paper summarized and analyzed the typical features of unconventional emergency in three aspects and the current situation and existing problems in emergency management research and practice. Then a “Scenarios-Response” intelligent decision support system (IDSS) framework of unconventional emergency management was established based on Scenario Analysis (SA) and Case-Based Reasoning (CBR). The method of SA provided a detailed and rigorous scenario description for the implementation of unconventional emergency case-based reasoning system; the technology of CBR provided a fast and effective emergency plan supporting for the scenario analysis of unconventional emergency. The IDSS of unconventional emergency management based on SA and CBR could predict accurately the scenarios of unconventional emergency, and provide support and reference for achieving rapid and timely decisions-making and emergency rescue, and it has great significance of establishing and promoting the National Emergency Management System.
Keywords :
case-based reasoning; decision making; decision support systems; emergency services; socio-economic effects; strategic planning; CBR system; IDSS; case based reasoning system; decision making; emergency planning; intelligent decision support system; national emergency management system; scenario analysis; unconventional emergency management; Analytical models; Cognition; Decision making; Decision support systems; Earthquakes; Educational institutions; Information technology; “Scenario-Response”; CBR; IDSS; Scenario analysis; Unconventional emergency;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
DOI :
10.1109/ICEMMS.2011.6015615