Analysis of oceanaut operating performance using an integrated Bayesian network aided by the fuzzy logic theory

Zhu, Mengya; Chen, Dengkai; Wang, Jingluan; Sun, Yiwei

doi:10.1016/j.ergon.2021.103129

Cited by 16 publications

(7 citation statements)

References 43 publications

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“…According to the results, it should be noted that FBN will not always increase the probability but will depend on the situation. This is one reason for the events with CCFs and conditional probabilities in BN (65,66) (68). The risk of this disease must be fully identified and analyzed to design an effective risk reduction approach.…”

Section: Discussionmentioning

confidence: 99%

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

Khoshakhlagh

Laal

Zarei³

et al. 2022

Preprint

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This study presents a holistic model based on Fuzzy Bayesian Network-Human Factor Analysis and System Classification (FBN-HFACS) to analyze contributing factors in the pandemic, Covid 19, risk management under uncertainty. The model contains three main phases include employing a) HFACS to systematically identify influencing factors based on validation using content validity indicators, b) Fuzzy Set Theory to obtain the prior probability distribution of contributing factors in pandemic risk and address the epistemic uncertainty and subjectivity, and finally, c) Bayesian network to develop causality model of the risk, probabilistic inferences and handle parameter and model uncertainties. The Ratio of Variation (RoV), as BN-driven importance measures, is utilized to conduct sensitivity analysis and explore the most critical factors that yield effective safety countermeasures. The model is tested to investigate four large manufacturing industries in South Khorasan (Iran). It provided a deep understanding of influencing human and organizational factors and captured dependencies among those factors, while quantitative finding paves a way to efficiently make risk-based decisions to deal with the pandemic risks under uncertainty.

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Section: Discussionmentioning

confidence: 99%

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

Khoshakhlagh

Laal

Zarei³

et al. 2022

Preprint

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“…Manned submersibles can carry scientists and equipment into the deep sea to perform missions such as scientific investigations, prospecting, topographic surveying, detection and capturing of suspicious objects. The cabin of a manned submersible is quite limited [1] but it includes numerous subsystems, such as a power control system, a communication system, a mechanical arm system, etc. [2].…”

Section: Effects Of Narrow and Sealed Cabins On Oceanautsmentioning

confidence: 99%

Effects of two recovery methods on the leg muscle fatigue of oceanauts in a manned submersible

Chen

Zhu

Yang

et al. 2022

Med Pr

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Background:The cabin of the manned submersible is a narrow and sealed space. The long-time work of oceanauts is easy to cause muscle fatigue and stiffness, which reduces efficiency. This paper explored the relative more effective way to relieve leg muscle fatigue of the oceanauts in the manned submersible. Material and Methods: Twenty healthy young people with an average age of 24 years were selected as the participants, while the usual natural relaxation and the stretching method proposed by the surveys were selected as the relieve method for muscle fatigue. This study compared the effects of the 2 recovery ways using the electromyography data from the quadriceps femoris and biceps femoris, and the subjective scales. Results: With the support of data of integral electromyogram (iEMG), root-mean-square (RMS), subjective scales, authors finally found that the 2 muscles of the leg are fatigued significantly, and biceps femoris has more accumulation of fatigue. Although the 2 recovery ways have a significant relief effect on muscle fatigue, the stretching method can reduce more muscle fatigue in a short period of time, especially for biceps femoris. The stretching method is advocated for the oceanauts. Conclusions: The findings suggested that the stretching method was optimal for relieving the muscle fatigue of the oceanauts during the operation. Med Pr. 2022;73(2):95-107

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“…Following the construction of the social network structure, the SNA can evaluate the objective law of interactions between individuals and factions through the relationships amongst points [22]. At present, common methods used to calculate risk factor correlations include interpretative structural modelling (ISM) [32] and the Bayesian network method [33], amongst other analytical approaches. However, none of the current methods can quantitatively analyse the position of risk factors in the risk network.…”

Section: Evaluation Index Screening and Weight Calculationsmentioning

confidence: 99%

Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

Wang

2021

Mathematical Problems in Engineering

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Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

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Analysis of oceanaut operating performance using an integrated Bayesian network aided by the fuzzy logic theory

Cited by 16 publications

References 43 publications

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

A model to analyze human and organizational factors contributing to pandemic risk assessment in manufacturing industries: FBN-HFACS Modelling

Effects of two recovery methods on the leg muscle fatigue of oceanauts in a manned submersible

Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

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