Subway Station Group Decision and Evaluation of Fire Emergency

2014 ◽  
Vol 580-583 ◽  
pp. 1408-1411
Author(s):  
Li Jun Cao ◽  
Xiang Mei Yu ◽  
Dong Yang Geng
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Group Decision ◽  
Subway Station ◽  
Key Factor ◽  
Emergency Group ◽  
Decision Making System ◽  
Fire Characteristics ◽  
Emergency Decision ◽  
Station Group

In order to build subway station fire emergency group decision-making system, Aim at the subway station fire characteristics in this paper, analyze the problems of emphasis from emergency decision, and group decision method is proposed to use to solve this problem. The method can avoid failure of the overall decision making mistakes because a single decision maker. Found of decision-making group consist of experts, academics, policy-makers, considering several key factor such as professional, academic, expert ratings, weight, to build group decision model .At the same time, evaluation of the subway station fire emergency group decision effectiveness to build subway station fire emergency response system, Ultimately improve the efficiency of emergency response and level of decision-making for subway station.

scholarly journals A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Xue-Feng Ding ◽  
Li-Xia Zhu ◽  
Mei-Shun Lu ◽  
Qi Wang ◽  
Yi-Qi Feng
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Decision Makers ◽  
Decision Matrix ◽  
Large Group ◽  
Emergency Event ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Alternative Solutions

After an unconventional emergency event occurs, a reasonable and effective emergency decision should be made within a short time period. In the emergency decision making process, decision makers’ opinions are often uncertain and imprecise, and determining the optimal solution to respond to an emergency event is a complex group decision making problem. In this study, a novel large group emergency decision making method, called the linguistic Z-QUALIFLEX method, is developed by extending the QUALIFLEX method using linguistic Z-numbers. The evaluations of decision makers on the alternative solutions are first expressed as linguistic Z-numbers, and the group decision matrix is then constructed by aggregating the evaluations of all subgroups. The QUALIFLEX method is used to rank the alternative solutions for the unconventional emergency event. Besides, a real-life example of emergency decision making is presented, and a comparison with existing methods is performed to validate the effectiveness and practicability of the proposed method. The results show that the proposed linguistic Z-QUALIFLEX can accurately express the evaluations of the decision makers and obtain a more reasonable ranking result of solutions for emergency decision making.

scholarly journals Hybrid Decision-making Method for Emergency Response System of Unattended Train Operation Metro

2016 ◽  
Vol 28 (2) ◽  
pp. 105-115 ◽  
Author(s):  
Bobo Zhao ◽  
Tao Tang ◽  
Bin Ning ◽  
Wei Zheng
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Weighted Averaging ◽  
Emergency Response System ◽  
Ordered Weighted Averaging ◽  
Response System ◽  
Train Operation ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Metro System

Suitable selection of the emergency alternatives is a critical issue in emergency response system of Unattended Train Operation (UTO) metro system of China. However, there is no available method for dispatcher group in Operating Control Center (OCC) to evaluate the decision under emergency situation. It was found that the emergency decision making in UTO metro system is relative with the preferences and the importance of multi-dispatcher in emergency. Regarding these factors, this paper presents a hybrid method to determinate the priority weights of emergency alternatives, which aggregates the preference matrix by constructing the emergency response task model based on the Weighted Ordered Weighted Averaging (WOWA) operator. This calculation approach derives the importance weights depending on the dispatcher emergency tasks and integrates it into the Ordered Weighted Averaging (OWA) operator weights based on a fuzzy membership relation. A case from train fire is given to demonstrate the feasibility and practicability of the proposed methods for Group Multi-Criteria Decision Making (GMCDM) in emergency management of UTO metro system. The innovation of this research is paving the way for a systematic emergency decision-making solution which connects the automatic metro emergency response system with the GMCDM theory.

scholarly journals A Dynamic Emergency Decision-Making Method Based on Group Decision Making with Uncertainty Information

2020 ◽  
Vol 11 (5) ◽  
pp. 667-679
Author(s):  
Jing Zheng ◽  
Yingming Wang ◽  
Kai Zhang ◽  
Juan Liang
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Case Based Reasoning ◽  
Case Retrieval ◽  
Gas Explosion ◽  
Historical Case ◽  
Emergency Decision Making ◽  
Emergency Decision ◽  
Case Based

Abstract In emergency decision making (EDM), it is necessary to generate an effective alternative quickly. Case-based reasoning (CBR) has been applied to EDM; however, choosing the most suitable case from a set of similar cases after case retrieval remains challenging. This study proposes a dynamic method based on case retrieval and group decision making (GDM), called dynamic case-based reasoning group decision making (CBRGDM), for emergency alternative generation. In the proposed method, first, similar historical cases are identified through case similarity measurement. Then, evaluation information provided by group decision makers for similar cases is aggregated based on regret theory, and comprehensive perceived utilities for the similar cases are obtained. Finally, the most suitable historical case is obtained from the case similarities and the comprehensive perceived utilities for similar historical cases. The method is then applied to an example of a gas explosion in a coal company in China. The results show that the proposed method is feasible and effective in EDM. The advantages of the proposed method are verified based on comparisons with existing methods. In particular, dynamic CBRGDM can adjust the emergency alternative according to changing emergencies. The results of application of dynamic CBRGDM to a gas explosion and comparison with existing methods verify its feasibility and practicability.

Discussion on The Construction Technology of Marine Environment Safety Knowledge Based on Knowledge Graphs

2020 ◽  
Author(s):  
Lie Sun ◽  
Le Wu ◽  
Fei Xu ◽  
ZhanLong Song
Keyword(s):  
Decision Making ◽  
Knowledge Representation ◽  
Knowledge Base ◽  
Emergency Response ◽  
Marine Environment ◽  
Semantic Knowledge ◽  
Construction Technology ◽  
Knowledge Graphs ◽  
Emergency Decision ◽  
Safety Knowledge

<p>The lack of the ability for machines to understand and judge semantic knowledge in the field of emergency response decision-making for marine environment safety is one of the difficulties in intelligent emergency response of marine disaster. Taking advantage of knowledge graphs in semantic search and intelligent recommendation is an important goal for the construction of the marine environment safety knowledge base. We summarizes the knowledge representation method based on knowledge graphs, analyzes the characteristics and difficulties of knowledge representation for emergency decision-making of marine environment safety, constructs the knowledge system of marine environment safety knowledge base, and proposes the construction idea of ​​marine environment safety knowledge base based on knowledge graphs.</p>

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