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Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 3 | Page No.: 583-587
DOI: 10.3923/itj.2014.583.587
 
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Multi-attribute Analysis of Consequence Severity in Risk Assessment for Natural Gas Pipelines

Qiuju You, Jianchun Fan, Wei Zhu and Yongqiang Bai

Abstract:
In order to be quantitative to assess the natural gas pipeline system, the paper presents a decision model for consequence severity of the accident based on Multi-attribute Analysis Method (MAAM). The MAAM can help carry out decision analyses more scientifically to produce multi-dimensional risk measurements. The attribute tree is established depending on a decision object and simplified in a decision meeting and then utility functions related to important attributes of the decision tree are built. An optimum solution is achieved by determining weights of attributes in the Analytic Hierarchy Process and calculating utility values. Finally examples as practical tests are given, in which the MAAM was applied to a particular natural gas accident to determine its consequence severity. The result shows that the MAAM can effectively help the decision-maker make a rational decision about the consequence severity in case of a gas accident.
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How to cite this article:

Qiuju You, Jianchun Fan, Wei Zhu and Yongqiang Bai, 2014. Multi-attribute Analysis of Consequence Severity in Risk Assessment for Natural Gas Pipelines. Information Technology Journal, 13: 583-587.

DOI: 10.3923/itj.2014.583.587

URL: https://scialert.net/abstract/?doi=itj.2014.583.587

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