Zhen-Jiang Zhang This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Dong Chen1
1School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiao Tong University, Beijing 100044, P.R. China
Received: June 6, 2013 Accepted: December 26, 2013 Publication Date: March 1, 2014
A decision support system for metro emergency dispatching is the core platform for dealing with the significant metro disaster events, and serves as the basis for the leadership’s decision-making process. In light of the shortcomings of existing scheduling command decision support systems, this paper constructs a Metro Emergency Scheduling ontology knowledge base, defines the core concept and structure of metro emergency, and sets up the concept data attributes and constraint relations. On this basis, we introduce the idea of fuzzy reasoning in the assessment of the level of threat to metro security’s physical components, generate the fuzzy rule base according to the fuzzy rules, and use the Sigmoid fuzzy membership function to fuzzy up the underlying input indicators. Then we construct the fuzzy reasoning based on fuzzy rules, in order to conduct a comprehensive assessment of the physical components of the existing metro operator safety factors, and realize the reasoning for emergency scheduling decisions that can help the scheduling personnel to make decisions in a timely manner in the event of a disaster as well as dispatch relief resources optimally
Keywords: Decision Support System, Emergency Scheduling Decision, Fuzzy Inference, Ontology Knowledge Base
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