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

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...

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Main Authors: Ouache, Rachid, Ali, A. J. Adham
Format: Article
Language:English
Published: INPRESSCO 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5960/1/Ftech-2014-rachid-reliability_quantitative.pdf
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author Ouache, Rachid
Ali, A. J. Adham
author_facet Ouache, Rachid
Ali, A. J. Adham
author_sort Ouache, Rachid
collection UMP
description 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.
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spelling UMPir59602015-06-24T01:36:20Z http://umpir.ump.edu.my/id/eprint/5960/ Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis Ouache, Rachid Ali, A. J. Adham T Technology (General) 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. INPRESSCO 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5960/1/Ftech-2014-rachid-reliability_quantitative.pdf 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). (Published) http://inpressco.com/reliability-quantitative-risk-assessment-in-engineering-system-using-fuzzy-event-tree-analysis/
spellingShingle T Technology (General)
Ouache, Rachid
Ali, A. J. Adham
Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title_full Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title_fullStr Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title_full_unstemmed Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title_short Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Event Tree Analysis
title_sort reliability quantitative risk assessment in engineering system using fuzzy event tree analysis
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/5960/1/Ftech-2014-rachid-reliability_quantitative.pdf
work_keys_str_mv AT ouacherachid reliabilityquantitativeriskassessmentinengineeringsystemusingfuzzyeventtreeanalysis
AT aliajadham reliabilityquantitativeriskassessmentinengineeringsystemusingfuzzyeventtreeanalysis