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

被引：15

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

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 2023年 / 35卷 / 01期

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

页码：35 / 58

页数：24

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