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

Case-based reasoning U+0028 CBR U+0029 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.

[1]  2 The Analytic Hierarchy Process 2 , 2020 .

[2]  Yong-Hai Li,et al.  Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion , 2014, Expert Syst. Appl..

[3]  Rao Cong-jun.  Case-based decision method based on threshold and its application in innovative design , 2010 .

[4]  Wenmao Liu,et al.  Emergency resources demand prediction using case-based reasoning , 2012 .

[5]  Kin Keung Lai,et al.  A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support , 2011, Decis. Support Syst..

[6]  Ying-Ming Wang,et al.  A general multiple attribute decision-making approach for integrating subjective preferences and objective information , 2006, Fuzzy Sets Syst..

[7]  Wei Li,et al.  Revised PROMETHEE II for Improving Efficiency in Emergency Response , 2013, ITQM.

[8]  Zhenliang Liao,et al.  Adaptation methodology of CBR for environmental emergency preparedness system based on an Improved Genetic Algorithm , 2012, Expert Syst. Appl..

[9]  Ji-jun Yang,et al.  Emergency Decision Engineering Model Based on Sequential Games , 2012 .

[10]  Gang Kou,et al.  Analytic network process in risk assessment and decision analysis , 2014, Comput. Oper. Res..

[11]  Yao Zhang,et al.  Risk decision analysis in emergency response: A method based on cumulative prospect theory , 2014, Comput. Oper. Res..

[12]  Hongyan Li,et al.  A FTA-based method for risk decision-making in emergency response , 2011, 2011 Fourth International Joint Conference on Computational Sciences and Optimization.

[13]  Jie Lu,et al.  Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services , 2013, Decis. Support Syst..

[14]  Jian Ma,et al.  A method for group decision making with multi-granularity linguistic assessment information , 2008, Inf. Sci..

[15]  I. Gilboa,et al.  Case-Based Decision Theory , 1995 .

[16]  Ronald R. Yager,et al.  OWA aggregation over a continuous interval argument with applications to decision making , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[17]  Li Yong-ha.  Method for generating emergency alternative with considering implementation effects of emergency alternatives , 2014 .

[18]  Jared L. Cohon,et al.  Multiobjective programming and planning , 2004 .

[19]  R P Hämäläinen,et al.  Multiattribute Risk Analysis in Nuclear Emergency Management , 2000, Risk analysis : an official publication of the Society for Risk Analysis.

[20]  Chao Huang,et al.  An Approach of Information Processing for CBR in Emergency Management Engineering , 2012 .

[21]  Kevin Fong-Rey Liu,et al.  Integrating case-based and fuzzy reasoning to qualitatively predict risk in an environmental impact assessment review , 2009, Environ. Model. Softw..

[22]  Itzhak Gilboa,et al.  Act similarity in case-based decision theory , 1997 .

[23]  Kouichi Taji,et al.  Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach , 2007, Math. Comput. Model..

[24]  Xin Zhang,et al.  Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables , 2011, Knowl. Based Syst..

[25]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[26]  Gülçin Büyüközkan,et al.  An integrated case-based reasoning and MCDM system for Web based tourism destination planning , 2011, Expert Syst. Appl..