A novel extension of DEMATEL approach for probabilistic safety analysis in process systems

Yazdi, Mohammad; Nedjati, Arman; Zarei, Esmaeil; Abbassi, Rouzbeh

doi:10.1016/j.ssci.2019.09.006

Cited by 121 publications

(54 citation statements)

References 71 publications

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“…As mentioned in the literature, in order to cope with the ambiguity of FMEA based on experts' elicitation, fuzzy logic introduced by Zadeh can be used for this purpose. In earlier studies, triangular and trapezoidal fuzzy numbers have been widely used and recognized to be more effective for risk assessment purposes . Therefore, both triangular and trapezoidal fuzzy numbers were utilized to map linguistic terms to fuzzy membership functions.…”

Section: Materials and Methodsologymentioning

confidence: 99%

“…In earlier studies, triangular and trapezoidal fuzzy numbers have been widely used and recognized to be more effective for risk assessment purposes. [39][40][41] Therefore, both triangular and trapezoidal fuzzy numbers were utilized to map linguistic terms to fuzzy membership functions. The reason for using these two types of fuzzy numbers is that under some weak assumptions, the defined membership functions can directly meet the appropriate optimization criteria.…”

Section: Preliminaries Of Fmeamentioning

confidence: 99%

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Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar

Yazdi

Adesina³

2020

Quality & Reliability Eng

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Failure modes and effects analysis (FMEA) is a safety and reliability technique that is widely used to evaluate, design, and process a system against diverse possible ways through which the potential failure has a tendency to occur. In conventional FMEA, the risk evaluation is determined by risk priority number (RPN) obtained by multiplying of three risk factors—severity, occurrence, and detection. However, because of many shortages in conventional FMEA, the RPN scores have been widely criticized along issues bothering on ambiguity and vagueness, scoring, appraising, evaluating, and selecting corrective actions. In this paper, we propose a new integrated fuzzy smart FMEA framework where the combination of fuzzy set theory, analytical hierarchy process (AHP), and data envelopment analysis (DEA) is used, respectively, to handle uncertainty and to increase the reliability of the risk assessment. These are achieved by employing a heterogeneous group of experts and determining the efficiency of FMEA mode with adequate priority and corrective actions using RPN, time, and cost as indicators. A numerical example (aircraft landing system) is provided to exemplify the feasibility and effectiveness of the proposed model. The outputs of the proposed model compared with the conventional risk assessment technique results show its effectiveness, reliability, and propensity for real applications.

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Section: Materials and Methodsologymentioning

confidence: 99%

Section: Preliminaries Of Fmeamentioning

confidence: 99%

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar

Yazdi

Adesina³

2020

Quality & Reliability Eng

Self Cite

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“…In this step, equations (8) and 9are used. In these equations, I represents the identity matrix [93]:…”

Section: Dematel Dematel Methods Examines the Intercriteria Interactimentioning

confidence: 99%

Gaussian-Based Soft Computing Approach to Alternative Banking System for Sustainable Financial Sector

et al. 2021

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This study aims to identify the necessary strategies for the development of a sustainable financial system. For this purpose, a novel approach could be provided for soft computing with Gaussian-based fuzzy DEMATEL approach to understand the significant levels and impact-relation degrees of these criteria. For robustness check, this evaluation has also been performed for triangular and trapezoidal fuzzy sets. There are many novelties of this study. Firstly, computer science has a significant role in the decision-making process. Another specificity is that the use of Gaussian numbers with fuzzy numbers is a new area. In addition, interval type-2 fuzzy (IT2F) sets also provide a significant advantage in decision-making under uncertainty. The results demonstrate that the size of the alternative financing, investment in efficient projects, and effective advertisement/promotions are the most important items to affect the performance of alternative banking system of emerging economies. Hence, it is recommended that the new banking applications should be applied by the state or the state can provide some incentives for foreign banks to invest in emerging economies, such as tax reduction. Another important point is that the financial intermediations should generate a component financial analysis team to examine the financial reports of the companies in detail so that the financial credibility of these companies can be evaluated more effectively.

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“…However, for taxiing behind of the departing aircraft, more attention has been paid to the far-field flow of the jet [38][39][40]. e SA turbulence model, as a classic aviation field model, exhibits strong robustness and a rich experience value [41,42]. erefore, based on the SA turbulence model and the DES method, a DES-SA mixed numerical simulation method is built to simulate the far field of a jet blast.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Numerical Simulation of Jet Blast Distance of a Departing Aircraft

Chang

et al. 2021

Mathematical Problems in Engineering

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A hybrid numerical simulation method was established by combining the Spalart-Allmaras (SA) turbulence model and detached eddy simulation (DES). Numerical simulations were carried out to model cold and hot spray conditions of a nozzle without considering the internal flow of an engine to determine jet conditions. Analysis results show that the calculated hot spray results more in line with the reality. The jet effect of a typical aircraft engine was simulated numerically to determine the distance influenced by the jet blast from a departing aircraft engine.

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A novel extension of DEMATEL approach for probabilistic safety analysis in process systems

Cited by 121 publications

References 71 publications

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Gaussian-Based Soft Computing Approach to Alternative Banking System for Sustainable Financial Sector

Hybrid Numerical Simulation of Jet Blast Distance of a Departing Aircraft

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