Emergency Management Case-Based Reasoning Systems: A Survey of Recent Developments

被引:14
作者
Bannour, Walid [1 ]
Maalel, Ahmed [1 ,2 ]
Ben Ghezala, Henda Hajjami [1 ]
机构
[1] Univ Manouba, Natl Sch Comp Sci, RIADI Lab, Manouba 2010, Tunisia
[2] Univ Sousse, Higher Inst Appl Sci & Technol, Sousse, Tunisia
关键词
Case-based reasoning; emergency management; disaster management; decision support; CASE RETRIEVAL METHOD; DECISION-MAKING; DIFFERENTIAL EVOLUTION; SIMILARITY MEASUREMENT; CASE REPRESENTATION; PROSPECT-THEORY; ALGORITHM; KNOWLEDGE; ONTOLOGY; CBR;
D O I
10.1080/0952813X.2021.1952654
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the frequent occurrence of natural and man-made disasters, emergency management has become an active research field aiming at saving lives and reducing environmental and economic losses. Due to the complexity of crisis situations, emergency managers need to be assisted in making critical and effective decisions. Case-based reasoning (CBR) methodology has been widely adopted to support emergency decision makers in their tasks. This paper presents a comprehensive literature review of recent emergency management CBR systems reported in peer-reviewed journals and ICCBR conference proceedings between 2000 and 2020. Recent development trends of emergency management CBR systems are identified in terms of their purposes, application contexts and techniques used for their development. Finally, opportunities to improve emergency management CBR systems are outlined.
引用
收藏
页码:35 / 58
页数:24
相关论文
共 93 条
[1]  
AAMODT A, 1994, AI COMMUN, V7, P39
[2]  
Abi-Zeid I, 1999, LECT NOTES ARTIF INT, V1650, P358
[3]   ADAPTATION KNOWLEDGE ACQUISITION IN A CBR SYSTEM [J].
Abou Assali, Amjad ;
Lenne, Dominique ;
Debray, Bruno .
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2013, 22 (01)
[4]   Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services [J].
Amailef, Khaled ;
Lu, Jie .
DECISION SUPPORT SYSTEMS, 2013, 55 (01) :79-97
[5]   A mobile-based emergency response system for intelligent m-government services [J].
Amailef, Khaled ;
Lu, Jie .
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2011, 24 (04) :338-+
[6]  
[Anonymous], 1993, Case-Based Reasoning
[7]   INTUITIONISTIC FUZZY-SETS [J].
ATANASSOV, KT .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96
[8]   Case-based parameter selection for plans: Coordinating autonomous vehicle teams [J].
Auslander, Bryan ;
Apker, Tom ;
Aha, David W. .
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8765 :32-47
[9]   Learning to Estimate: A Case-Based Approach to Task Execution Prediction [J].
Auslander, Bryan ;
Floyd, Michael W. ;
Apker, Thomas ;
Johnson, Benjamin ;
Roberts, Mark ;
Aha, David W. .
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2015, 2015, 9343 :15-29
[10]   Interactive case-based planning for forest fire management [J].
Avesani, P ;
Perini, A ;
Ricci, F .
APPLIED INTELLIGENCE, 2000, 13 (01) :41-57