A FTA-based method for risk decision-making in emergency response

Authors:
Yang Liu;Zhi-Ping Fan;Yuan Yuan;Hongyan Li
Affiliations:
Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China
Venue:
Computers and Operations Research
Year:
2014

Citing 7
Cited 0

Multilevel fault tree analysis using fuzzy numbers

Computers and Operations Research
A fuzzy optimization method for multicriteria decision making: An application to reservoir flood control operation

Expert Systems with Applications: An International Journal
Fault-tree analysis for liquefied natural gas terminal emergency shutdown system

Expert Systems with Applications: An International Journal
An incident information management framework based on data integration, data mining, and multi-criteria decision making

Decision Support Systems
A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support

Decision Support Systems
Group decision support for hazards planning and emergency management: A Group Analytic Network Process (GANP) approach

Mathematical and Computer Modelling: An International Journal
Analytic network process in risk assessment and decision analysis

Computers and Operations Research

Quantified Score

Hi-index	0.01

Visualization

Abstract

Decision-making problems in emergency response are usually risky and uncertain due to the limited decision data and possible evolvement of emergency scenarios. This paper focuses on a risk decision-making problem in emergency response with several distinct characteristics including dynamic evolvement process of emergency, multiple scenarios, and impact of response actions on the emergency scenarios. A method based on Fault Tree Analysis (FTA) is proposed to solve the problem. By analyzing the evolvement process of emergency, the Fault Tree (FT) is constructed to describe the logical relations among conditions and factors resulting in the evolvement of emergency. Given different feasible response actions, the probabilities of emergency scenarios are estimated by FTA. Furthermore, the overall ranking value of each action is calculated, and a ranking of feasible response actions is determined. Finally, a case study on H1N1 infectious diseases is given to illustrate the feasibility and validity of the proposed method.