RESEARCH ARTICLE
Event Tree Analysis of Xinda Oil Pipeline Leakage Based on Fuzzy Set Theory
Di Wang1, *, Enbin Liu1, Liyu Huang2
Article Information
Identifiers and Pagination:
Year: 2017Volume: 11
First Page: 101
Last Page: 108
Publisher ID: TOCIEJ-11-101
DOI: 10.2174/1874149501711010101
Article History:
Received Date: 15/9/2016Revision Received Date: 02/12/2016
Acceptance Date: 19/12/2016
Electronic publication date: 31/01/2017
Collection year: 2017
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
Event tree is a logical analysis of probability for outcome events by initiating event and probable subsequent events. However, the evaluation of every single event may contain vague information or cannot be described by a crisp number of probabilities in application. So this paper aims to develop an event tree by using fuzzy set theory with a combination of triangle membership function and trapezoidal membership function to quantify the vagueness of information and calculate the outcome probability. Through the analysis of an oil pipeline leakage accident, the method provided is fully used and the expansion of accident can be tracked through different paths of event tree.