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Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis

Ouache, Rachid and Ali, A. J. Adham (2014) Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis. International Journal of Current Engineering and Technology, 4 (2). pp. 1103-1109. ISSN 2347-5161 (print); 2277–4106 (online)

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Abstract

Quantitative risk assessment and reliability is most famous approach used for precise the values of possible outcomes of initiating event. The Event Tree Analysis (ETA) is a graphical logic model for assessing probability of an accident, ETA is either a preincident or a post incident application. In this paper new model proposed for reliability quantitative risk assessment using event tree analysis with a fuzzy sets approach for solve problem of uncertainty and imprecise of outcomes and risk in the chemical industry. The results got by new model is more precise and more powerful to deal with uncertainty in results and helpful for reliability quantitative risk assessment.

Item Type: Article
Uncontrolled Keywords: Quantitative Risk Analysis; Event Tree Analysis; Reliability; Fuzzy sets
Subjects: T Technology > T Technology (General)
Faculty/Division: Faculty of Engineering Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 27 Jun 2014 04:44
Last Modified: 24 Jun 2015 01:36
URI: http://umpir.ump.edu.my/id/eprint/5960
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