Uncertainty Handling in the Safety Risk Analysis: An Integrated Approach Based on Fuzzy Fault Tree Analysis

Yazdi, Mohammad; Zarei, Esmaeil

doi:10.1007/s11668-018-0421-9

Cited by 92 publications

(47 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, the third expert has a doctorate degree in logistics systems engineering and has been working as an associate professor in academia for over 15 years. The weights of experts are assigned based on their knowledge and backgrounds [ 46 ], that is v = ( v 1 , v 2 , v 3 ) = 0.25,0.35,0.4). The experts evaluated the 4 alternatives against the 12 subcriteria from the perspectives of economy, policy, environment and ecology.…”

Section: Resultsmentioning

confidence: 99%

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

Wei

2018

PLoS ONE

View full text Add to dashboard Cite

Distribution centers (DCs) are an important part of the modern logistics system. The selection of a location for a DC is significant for saving costs and reducing externalities caused by distribution. In this paper, we propose a new hybrid method based on the analytic hierarchy process (AHP) and 2-tuple hybrid ordered weighted averaging (THOWA) to select the location of a DC in a megacity. First, we propose a new set of evaluation criteria integrating economic, political, social and ecological information based on the characteristics of Chinese megacities. Second, subjective criteria weights are calculated by AHP combining the evaluation of logistics experts. Third, experts from academia, enterprise and government assess the performance of alternatives. In addition, the overall evaluation values are aggregated by an improved THOWA operator to rank the alternatives. Finally, we conduct a sensitivity analysis to investigate the influence of criteria weights on the decision-making process. The proposed method is novel and addresses the uncertainty under limited quantitative information, which has the advantages of avoiding information loss and distortion problems in the integrating process and operating linguistic evaluation information effectively. The proposed method can be practically applied by municipal planning departments in deciding on the location of new DCs. A numerical application of the proposed method is provided.

show abstract

Section: Resultsmentioning

confidence: 99%

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

Wei

2018

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…For this purpose, the similarity aggregation method (SAM) was engaged to aggregate the opinions of three employed experts. Additionally, they highlighted that the use of linguistic terms is a proper alternative to deal with the uncertainties that arise from basic event probability Yazdi and Zarei [107] used different common extensions of fuzzy set theory to aggregate experts' opinions, which are expressed as linquitic terms about the possibility of each BE. They compared the results and listed several advantages and disadvantages of each approach.…”

Section: Analysis Of Epistemic Uncertainty Handling Contributionsmentioning

confidence: 99%

Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives

Yazdi

Kabir

Walker

2019

Process Safety and Environmental Protection

Self Cite

149

View full text Add to dashboard Cite

Risk assessment methods have been widely used in various industries, and they play a significant role in improving the safety performance of systems. However, the outcomes of risk assessment approaches are subject to uncertainty and ambiguity due to the complexity and variability of system behaviour, scarcity of quantitative data about different system parameters, and human involvement in the analysis, operation, and decision-making processes. The implications for improving system safety are slowly being recognised; however, research on uncertainty handling during both qualitative and quantitative risk assessment procedures is a growing field. This paper presents a review of the state of the art in this field, focusing on uncertainty handling in fault tree analysis (FTA) based risk assessment. Theoretical contributions, aleatory uncertainty, epistemic uncertainty, and integration of both epistemic and aleatory uncertainty handling in the scientific and technical literature are carefully reviewed. The emphasis is on highlighting how assessors can handle uncertainty based on the available evidence as an input to FTA.

show abstract

“…color super twisted nematic. Yazdi [36] introduced a novel 2tuple intuitionistic fuzzy-hybrid-modified TOPSIS approach for assessing hazards in a gas refinery for the welding and lamination task to represent the effectiveness and reliability of proposed model to compare with the conventional risk matrix. Therefore, the model based on the interval 2-tuple linguistic terms method will be more flexible and precise to cope with expert judgments in the tacit knowledge acquisition process.…”

Section: Introductionmentioning

confidence: 99%

“…However, to the best of authors knowledge, there are few attempts have been done to use 2-tuple linguistic terms in FTA, whereas many studies have been performed using conventional fuzzy FTA like as [36,37]. As a prior study, an intuitionistic fuzzy sets based method has been engaged for the failure analysis of the printed circuit board assembly [38].…”

Section: Introductionmentioning

confidence: 99%

Knowledge acquisition development in failure diagnosis analysis as an interactive approach

Yazdi

Soltanali

2018

Int J Interact Des Manuf

Self Cite

View full text Add to dashboard Cite

Safety and reliability analysis is an important issue to prevent an event which may to occurrence of catastrophic accident in process industries. In this context, conventional safety and reliability assessment technique like as fault tree analysis have been widely used in this regards; however, they still suffer in subjective uncertainty processing and dynamic structure representation which are important in risk assessment procedure. In this paper, a new framework based on 2-tuple intuitionistic fuzzy numbers and Bayesian network mechanism is proposed to evaluate system reliability, to deal with mentioned drawbacks, and to recognize the most critical system components which affects the system reliability. The reliability and safety guarantee of such system in the aspect of continuity operations and enhancing the safety of operators and vehicle drivers are crucial. The results revealed that the proposed model could be useful for diagnosing the systems' faults compared with listing approaches of safety and reliability analysis.

show abstract

Uncertainty Handling in the Safety Risk Analysis: An Integrated Approach Based on Fuzzy Fault Tree Analysis

Cited by 92 publications

References 63 publications

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

A hybrid approach based on the analytic hierarchy process and 2-tuple hybrid ordered weighted averaging for location selection of distribution centers

Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives

Knowledge acquisition development in failure diagnosis analysis as an interactive approach

Contact Info

Product

Resources

About