A systematic approach to identify the hierarchical structure of accident factors with grey relations

Ai, Xinbo; Hu, Yanzhu; Chen, Guohong

doi:10.1016/j.ssci.2013.11.001

Cited by 32 publications

(9 citation statements)

References 35 publications

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“…Occurrence (O), severity(S), and detection of a failure (D) [61] Grey approach Textile supply chain Discrimination, abuse of human rights, child labour, long working hours, society/ unfair competition, pollution/concern for the environment [62] Grey approach Supplier selection Product quality, service quality, delivery time, and price [63] GRA-Interpretive Structural Modelling (ISM)…”

Section: Review Of Various Risk Assessment Methodologies Adopted In Dmentioning

confidence: 99%

Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

Verma

Chaudhari²

2016

International Journal of Mining Science and Technology

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Section: Review Of Various Risk Assessment Methodologies Adopted In Dmentioning

confidence: 99%

Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

Verma

Chaudhari²

2016

International Journal of Mining Science and Technology

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“…The whitenization weight function of grey clustering is mainly used to check in advance whether the observation object belongs to one of the different category sets (19)(20)(21)(22)(23). The whitenization weight function of grey clustering is mainly used to check in advance whether the observation object belongs to one of the different category sets (19)(20)(21)(22)(23).…”

Section: Grey Clustering Analysis Algorithmmentioning

confidence: 99%

“…According to a grey clustering analysis algorithm (GCA), the observation indexes or objects can be divided into several definable categories, based on a grey incidence matrix or on a whitenization weight function. The whitenization weight function of grey clustering is mainly used to check in advance whether the observation object belongs to one of the different category sets (19)(20)(21)(22)(23). In this study, the track images of the microspheres are classified into the definable classes (blank/ inadequate, normal, and overlapped) by using grey whitenization weight functions.…”

Section: Grey Clustering Analysis Algorithmmentioning

confidence: 99%

Evaluating the liquid path stability of a flow cytometer

et al. 2016

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Precision in flow cytometry depends on many factors, the first of which is accurate and stable positioning of the hydrodynamically focused cells. However, no method exists to evaluate the stability of laminar flow and single-cell flow in the flow chamber of the flow cytometer directly because of the small size of the rectangular channel of the flow chamber. In this paper, a method of high-speed particle image velocimetry is proposed to solve this problem. The velocity stability of the particles in the flow chamber is used to evaluate the flow stability of the fluid path of the flow cytometer. The side scattering images of particles are obtained by a high-speed camera. Upon exposure, cells were imaged at random positions in the flow cell, resulting in four different types of the images: blank, inadequate, normal, or overlapped. Normal images were identified utilizing a grey cluster analysis algorithm based on trapezoid whitenization weight functions. A mid-point method is applied to determine the length of the particle track at a fixed exposure time. The variation of the trajectory lengths of the normal images are used to evaluate the stability of the liquid path. Experiments are carried out to verify the feasibility of our method in which different diameter microspheres at different flow rates. The results indicate that the standard deviation and relative standard deviation of the trajectory lengths can be used as the evaluation indices of the liquid path stability of the flow cytometer. © 2016 International Society for Advancement of Cytometry.

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“…For example, Junjie Wang et al designed a new grey incidence model called GDTIM(t) to dynamically analyse the relevant factors of smog weather in southern China's Jiangsu Province [24]. The analysis results verified that the GDTIM(t) model not only overcomes the drawbacks of index uncertainty, but also stands out as an advantageous problem-solving strategy [25]. In light of the above, grey theory and its judgement matrix has been adopted for various types of risk assessment, save the rainstorm waterlogging risk assessment.…”

Section: Introductionmentioning

confidence: 97%

Urban Rainstorm Waterlogging Risk Assessment Based on Grey-AHP

Fang¹,

Chen²,

Guo³

2017

MMC_C

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The recent increase in rainstorm waterlogging disasters has acutely threatened the sustainable urban development. In this situation, it is particularly important to evaluation the risk of urban rainstorm waterlogging. Hence, the popular index system assessment was improved with greyanalytic hierarchy process (Grey-AHP), and then applied to assess the risk of rainstorm waterlogging. The improved index system consists of three levels: the target level, the criterion level and the index level. Moreover, the grey judgment matrix was constructed to evaluate the uncertain indices. Based on the Grey-AHP model, the evaluated index values fall in a relatively limited scope. The effect of the model was verified in a case study on Huangxiao River, central China's Hubei Province, with such impact factors as receiving waters, river storage capacity and runoff coefficient. The results prove the effectiveness of the proposed model, which offers a feasible method and lays the theoretical basis for urban rainstorm waterlogging risk assessment.

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A systematic approach to identify the hierarchical structure of accident factors with grey relations

Cited by 32 publications

References 35 publications

Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

Highlights from the literature on risk assessment techniques adopted in the mining industry: A review of past contributions, recent developments and future scope

Evaluating the liquid path stability of a flow cytometer

Urban Rainstorm Waterlogging Risk Assessment Based on Grey-AHP

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