Dynamic Case Retrieval Method With Subjective Preferences and Objective Information for Emergency Decision Making

被引:17
作者
Zheng, Jing [1 ,2 ]
Wang, Yingming [1 ]
Chen, Shengqun [3 ]
机构
[1] Fuzhou Univ, Fuzhou 350116, Fujian, Peoples R China
[2] Fujian Jiangxia Univ, Fuzhou 350108, Fujian, Peoples R China
[3] Fujian Jiangxia Univ, Sch Elect Informat Sci, Fuzhou 350108, Fujian, Peoples R China
基金
美国国家科学基金会;
关键词
Case-based reasoning (CBR); dynamic case retrieval; pairwise comparison matrix; preference relation; weight estimation; REASONING APPROACH; SIMILARITY; MANAGEMENT; SYSTEM; CBR;
D O I
10.1109/JAS.2016.7510232
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Case-based reasoning (CBR) is one of the best methods for generating an effective solution in an emergency. In recent years, some methods for generating emergency alternatives have been included in practical CBR applications, but there have been no in-depth studies of these processes. In this study, we propose a new method for dynamic case retrieval with subjective preferences and objective information, which considers the personal preferences of the decision makers and changes in the attributes of the emergency as the situation develops. First, we present a formula for calculating the case similarity and changing trends in the case considered, where similar cases are obtained. Next, we describe a method for measuring the overall assessment value with respect to similar historical cases, which is obtained by aggregating the case similarity, the utility case similarity, the first response time, and the implementation effect. The subjective preferences and objective information are also integrated in the decision-making process. Finally, we present a case study based on the emergency response to a fire in a high-rise building, which illustrates the applicability and feasibility of the proposed method.
引用
收藏
页码:749 / 757
页数:9
相关论文
共 27 条
[1]   An integrated case-based reasoning and MCDM system for Web based tourism destination planning [J].
Alptekin, Gulfen Isiklar ;
Buyukozkan, Gulcin .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :2125-2132
[2]   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
[3]  
Cohon J.L., 1978, Multiobjective programming and planning
[4]   Analytic network process in risk assessment and decision analysis [J].
Ergu, Daji ;
Kou, Gang ;
Shi, Yong ;
Shi, Yu .
COMPUTERS & OPERATIONS RESEARCH, 2014, 42 :58-74
[5]   Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion [J].
Fan, Zhi-Ping ;
Li, Yong-Hai ;
Wang, Xiaohuan ;
Liu, Yang .
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (05) :2526-2534
[6]   CASE-BASED DECISION-THEORY [J].
GILBOA, I ;
SCHMEIDLER, D .
QUARTERLY JOURNAL OF ECONOMICS, 1995, 110 (03) :605-639
[7]   Act similarity in case-based decision theory [J].
Gilboa, I ;
Schmeidler, D .
ECONOMIC THEORY, 1997, 9 (01) :47-61
[8]   Multiattribute risk analysis in nuclear emergency management [J].
Hämäläinen, RP ;
Lindstedt, MRK ;
Sinkko, K .
RISK ANALYSIS, 2000, 20 (04) :455-467
[9]  
Huang C., 2012, SYST ENG PROCEDIA, V5, P185
[10]   A method for group decision making with multi-granularity linguistic assessment information [J].
Jiang, Yan-Ping ;
Fan, Zhi-Ping ;
Ma, Jian .
INFORMATION SCIENCES, 2008, 178 (04) :1098-1109