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author:

Zheng, J. (Zheng, J..) [1] | Wang, Y. (Wang, Y..) [2] | Chen, S. (Chen, S..) [3]

Indexed by:

Scopus CSCD

Abstract:

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. © 2014 Chinese Association of Automation.

Keyword:

dynamic case retrieval; pairwise comparison matrix; preference relation; Terms-Case-based reasoning (CBR); weight estimation

Community:

  • [ 1 ] [Zheng, J.]Fuzhou University, Fujian, 350116, China
  • [ 2 ] [Zheng, J.]Fujian Jiangxia University, Fujian, 350108, China
  • [ 3 ] [Wang, Y.]Fuzhou University, Fujian, 350116, China
  • [ 4 ] [Chen, S.]Fujian Jiangxia University, Fujian, 350108, China
  • [ 5 ] [Chen, S.]School of Electronics Information Science, Fujian Jiangxia University, Fujian, 350108, China

Reprint 's Address:

  • [Wang, Y.]Fuzhou UniversityChina

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Source :

CAA Journal of Automatica Sinica

ISSN: 2329-9266

Year: 2018

Issue: 3

Volume: 5

Page: 749-757

1 5 . 3 0 0

JCR@2023

ESI HC Threshold:170

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 21

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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