scholarly journals Interruption Risk Assessment and Transmission of Fresh Cold Chain Network Based on a Fuzzy Bayesian Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Huanwan Chen ◽  
Qingnian Zhang ◽  
Jing Luo ◽  
Xiuxia Zhang ◽  
Guopeng Chen
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Sensitivity Analysis ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Evaluation Model ◽  
Virus Transmission ◽  
Significant Risk ◽  
Cold Chain ◽  
Transmission Model

The fresh cold chain network is complex, and the interruption risk can significantly impact it. Based on the Bayesian theory, we constructed a fresh cold chain network interruption risk topology structure. The probability of each root node was predicted and calculated based on the fuzzy set theory. The evaluation model was then validated and improved through the virus transmission model based on risk transmission. Sensitivity analysis was used to determine significant risk factors. Several strategies for minimizing interruption risks were identified.

scholarly journals FANPCE TECHNIQUE FOR RISK ASSESSMENT ON SUBWAY STATION CONSTRUCTION

2019 ◽  
Vol 25 (6) ◽  
pp. 599-616 ◽  
Author(s):  
Luyuan Wu ◽  
Haibo Bai ◽  
Chao Yuan ◽  
Changyu Xu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Weight Matrix ◽  
Subway Station ◽  
Total Risk

Risk assessment is critical for the construction of the subway station to improve the risk management and reduce the additional loss. According to field investigation of safe construction, the analytical network process (ANP), fuzzy set theory and fuzzy comprehensive evaluation (FCE), a fuzzy ANP comprehensive evaluation (FANPCE) model was proposed to evaluate the risk of subway station construction in this paper. Twelve key risk factors of subway station construction were identified through literature review and questionnaires. The interdependency among risk factors were illustrated through the network structure of ANP, and then a weight matrix of single risk factors was built by comments and survey results, and the interdependent weight matrix was quantified by integrating the triangular fuzzy number into the ANP. Subsequently, the total risk rank of assessed projects can be quantified though the synthesis of weight matrices with the synthetic operator of FCE. Wu Lu Kou subway station was selected as a case study. The results imply that, construction experience, underground water, and safety consciousness have a substantial influence on construction projects and that the total construction risk of Wu Lu Kou subway station is ranked at I level. Moreover, the loss analysis of the whole construction process verifies this method. This research contributes to developing a FANPCE method to identify the risk factors with high weights, assess the risk rank of projects and appropriately respond to the results. In addition, the developed fuzzy set theory-ANP-FCE integrated network provides stakeholders a consolidated model for the risk evaluation.

Analysis of Cerebral Vascular Lesion Pools in Ischemic Stroke Based on the Analysis and the Prognostic Assessment of Risk Factors in Patients with Primary and Recurrent Ischemic Stroke

2016 ◽  
pp. 65-68
Author(s):  
Oksana Mikitey
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Ischemic Stroke ◽  
Recurrent Stroke ◽  
Significant Risk ◽  
Vascular Lesion ◽  
Assessment Tools ◽  
Vascular Lesions ◽  
Global Risk ◽  
Risk Assessment Tools

Stroke is an important medical and social problem, and stroke risk assessment tools have difficulty on the interaction of risk factors and the effects of certain risk factors with analysis by age, gender, race, because this information fully available to global risk assessment tools. In addition, these tools tend to be focused and usually do not include the entire range of possible factors contributing. The aim of the study was to conduct a comparison of brain vascular lesions pool with ischemic stroke (II) based predictive analysis and assessment of the main risk factors in patients with primary and recurrent ischemic stroke. Prognostically significant risk factors for recurrent ischemic stroke is not effective antihypertensive therapy, multiple stenoses any one pool vascular brain, duration of hypertension (AH) over 5 years and regular smoking patients (p<0.001). In the initial localization in the second vertebrobasilar recurrent stroke was significantly (p<0.05) more developed in the same pool in women than in men; and the localization of the primary carotid AI in the pool, re-developed stroke often unreliable in the same pool in women than in men.

Uncertainty Analysis in Quantitative Risk Assessment

1996 ◽  
Vol 118 (1) ◽  
pp. 121-124 ◽  
Author(s):  
S. Quin ◽  
G. E. O. Widera
Keyword(s):  
Risk Assessment ◽  
Uncertainty Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Failure Modes ◽  
The Other ◽  
Quantitative Risk Assessment ◽  
Engineering Practice ◽  
Criticality Analysis

Of the quantitative approaches applied to inservice inspection, failure modes, effects,criticality analysis (FMECA) methodology is recommended. FMECA can provide a straightforward illustration of how risk can be used to prioritize components for inspection (ASME, 1991). But, at present, it has two limitations. One is that it cannot be used in the situation where components have multiple failure modes. The other is that it cannot be used in the situation where the uncertainties in the data of components have nonuniform distributions. In engineering practice, these two situations exist in many cases. In this paper, two methods based on fuzzy set theory are presented to treat these problems. The methods proposed here can be considered as a supplement to FMECA, thus extending its range of applicability.

Risk Assessment of Enterprise Merger and Acquisition Based on Event Tree Method and Fuzzy Set Theory

2013 ◽  
Vol 13 (21) ◽  
pp. 4819-4825 ◽  
Author(s):  
Guang-Rong Li ◽  
Chun-He Li ◽  
Xiu-Hong Niu ◽  
Li-Ping Yang
Keyword(s):  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Merger And Acquisition ◽  
Event Tree ◽  
Tree Method

A Computerized Method for Delay Risk Assessment Based on Fuzzy Set Theory using MS Project™

2018 ◽  
Vol 22 (8) ◽  
pp. 2714-2725 ◽  
Author(s):  
Cenk Budayan ◽  
Irem Dikmen ◽  
M. Talat Birgonul ◽  
Aydın Ghaziani
Keyword(s):  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Computerized Method

scholarly journals Application of Fuzzy DEMATEL in Risks Evaluation of Knowledge-Based Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
M. Abbasi ◽  
R. Hosnavi ◽  
B. Tabrizi
Keyword(s):  
Risk Factors ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
New Products ◽  
Linguistic Variables ◽  
Fuzzy Dematel ◽  
Knowledge Based ◽  
Wide Range ◽  
Do So

Developing new products has received much attention within the last decades. This issue can be highlighted for strategic innovations, in particular. Recently, knowledge-based networks have been introduced in order to facilitate the affair of transforming knowledge into commercial products which can be regarded as a set of research centers, universities, knowledge intermediaries, customers, and so forth. However, there is a wide range of risk factors that are liable to affect the chain performance. Hence, this paper aims to consider the most influencing criteria that can play a more significant role in achievements of such networks. To do so, DEMATEL has been applied to take the relationships between the risk factors into account. Moreover, fuzzy set theory has been utilized in order to deal with the linguistic variables. Finally, the most important factors are identified and their relations are determined.

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