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author:

Zheng, J. (Zheng, J..) [1] | Wang, Y.-M. (Wang, Y.-M..) [2] | Zhang, K. (Zhang, K..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

To resolve the problems of the objectivity of emergency case retrieval and the difficulty of determining the weights of attributes, an emergency case retrieval method is proposed based on the cross-efficiency evaluation. Firstly, the similarity degrees of attributes between the target case and the historical cases are measured for each attribute by using Euclidean distances. Then, the similarity degrees of cases are measured by using the CCR cross-efficiency model in data envelopment analysis. Emergency implementation effects of historical cases are also assessed by using CCR cross-efficiencies. The overall evaluation values of historical cases are the integrations of their similarity degrees of cases and emergency implementation effects. The emergency alternative for target case is the historical one with the maximum overall evaluation value. Finally, a fire example of high-rise building is used to verify the feasibility and effectiveness of the proposed method. © 2018, Editorial Office of Control and Decision. All right reserved.

Keyword:

Case-based reasoning; Cross-efficency; Emergency; Implementation effect; Similarity

Community:

  • [ 1 ] [Zheng, J.]College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou, 350108, China
  • [ 2 ] [Zheng, J.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Wang, Y.-M.]Decision Sciences Institute, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Zhang, K.]Department of Information Engineering, Fujian Chuanzheng Communications College, Fuzhou, 350007, China

Reprint 's Address:

  • [Zheng, J.]College of Electronics and Information Science, Fujian Jiangxia UniversityChina

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Source :

Control and Decision

ISSN: 1001-0920

Year: 2018

Issue: 11

Volume: 33

Page: 2045-2050

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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