Uncertainty in fault tree analysis: A fuzzy approach

Suresh, P.; Babar, A.K.; Raj, V. Venkat

doi:10.1016/0165-0114(95)00386-x

Cited by 176 publications

(92 citation statements)

References 9 publications

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“…This model is widely used to evaluate the reliability of a complex system in various fields, such as pipelines, aerospace and petrochemical industry [24]. FFTA combines fuzzy set theories for the uncertainty analysis in FTA model [25]. The probabilities of events are treated as a fuzzy number, which can be obtained by theory of fuzzy set [26].…”

Section: Process Reliability Evaluationmentioning

confidence: 99%

Validation of Land Cover Products Using Reliability Evaluation Methods

et al. 2015

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Validation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be undertaken to provide reliable land cover information. In addition, the lack of high-quality reference data often constrains validation and affects the reliability results of land cover products. This study proposes a validation schema to evaluate the reliability of land cover products, including two methods, namely, result reliability evaluation and process reliability evaluation. Result reliability evaluation computes the reliability of land cover products using seven reliability indicators. Process reliability evaluation analyzes the reliability propagation in the data production process to obtain the reliability of land cover products. Fuzzy fault tree analysis is introduced and improved in the reliability analysis of a data production process. Research results show that the proposed reliability evaluation scheme is reasonable and can be applied to validate land cover products. Through the analysis of the seven indicators of result reliability evaluation, more information on land cover can be obtained for strategic decision-making and planning, compared with traditional accuracy assessment methods. Process reliability OPEN ACCESSRemote Sens. 2015, 7 7847 evaluation without the need for reference data can facilitate the validation and reflect the change trends of reliabilities to some extent.

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Section: Process Reliability Evaluationmentioning

confidence: 99%

Validation of Land Cover Products Using Reliability Evaluation Methods

et al. 2015

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“…A complete HRA process must have the following steps [5] Fault tree analysis (FTA) is a logical and diagrammatic method to evaluate the probability of an accident resulting from sequences and combinations of faults and failure events [6]. FTA is a powerful and computationally efficient technique to analyze and predict system reliability and safety.…”

Section: Human Reliability Analysismentioning

confidence: 99%

Evaluation of the causes of Bukit Antarabangsa 2008 landslide by using fault tree analysis

Kazmi¹,

Qasim²,

Harahap³

2017

MATEC Web Conf.

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Abstract. Bukit Antarabangsa 2008 is considered as a deep-seated landslide which occurred in the landslide-prone area of Ulu Klang, Malaysia. The precipitation data obtained from previous studies show that there were comparatively less rainfalls immediately before the landslide which suggests that other potential triggers must be analyzed. This study analyses the causes of Bukit Antarabangsa 2008 landslide by performing fault tree analysis (FTA) which is a logical and diagrammatic method to evaluate the probability of an accident resulting from sequences and combinations of faults. The FTA is performed on four potential landslide contributors of improper shear strength parameters, flawed development plan, erroneous drainage planning & design and, ineffective slope strengthening works in order to determine the causes of the landslide. The analysis shows that the causes of Bukit Antarabangsa 2008 landslide potentially include ineffective slope strengthening works related to monitoring and maintenance which is followed by improper development plan having a probability of failure of 0.194 and 0.15 respectively. These causes actually correlate with the human errors which are often neglected during the slope construction and required to be addressed to increase the safety of the slopes.

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“…Subjectivity and fuzziness are inherent in any system reliability analysis. Recently there have been many applications of fuzzy set theory to reliability and safety analyses [6][7][8]. In fuzzy fault tree analysis methods, instead of assuming the input parameter as a random variable it is considered as a fuzzy number and uncertainty to the top event is propagated by fuzzy algebraic operations.…”

Section: Fuzzy Set Theory To Handle Uncertainty In Parameters Of Riskmentioning

confidence: 99%

“…In fuzzy approach the algebraic operations are easy and needs less computer time than former. The method proposed by Soman and Misra [6] based on alpha-cut method, also known as resolution identity method, is computationally simple and has been applied to uncertainty analysis in fault trees by many authors [7,8]. Fuzzygenetic approach has been successfully applied in structural engineering optimization by Yang and Soh [10], Rao [11] and Soh and Yang [12].…”

Section: Introductionmentioning

confidence: 99%