Research on Computer Aided Risk Evaluation Model through Fuzzy Hierarchical Analysis

Zhang, Junjie; Liu, Tao; Li, Qianxi; Zhang, Tianyu

doi:10.1088/1742-6596/2033/1/012020

Cited by 2 publications

(1 citation statement)

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“…In this paper, ρis used to represent the level of indicators, and the judgement matrix is constructed with the help of triangular fuzzy number, and this is used to compare the importance of each factor [6] . As the data given by the experts do not need to be particularly accurate, it is only necessary to compare the relative importance of the indicators according to the criteria, quantify them, and then arrive at the upper limit, middle value and lower bound value of the judgement, which are the weight vectors of the evaluation indicators [7] .…”

Section: Construction Of the Indicator Systemmentioning

confidence: 99%

Research on Evaluation of Eco-Metro Station Levels Based on Hierarchical Analysis Models

Zhiming,

Yong Chung Ee,

Siuhong

et al. 2023

E3S Web Conf.

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With the help of hierarchical analysis and fuzzy comprehensive evaluation theory, this paper innovatively constructs a hierarchical evaluation model of underground metro station ecological building projects from six aspects, namely, land saving, material saving, indoor environment, water saving, energy saving and operation management, and combines with the premise of spatial specificity and complexity of underground metro stations, so as to provide a theoretical basis for the development of ecological buildings in the construction of underground metro stations. The article selects the ecological building of underground station in Qingdao, China to carry out comprehensive evaluation and validation. The results of the study show that the evaluation model based on hierarchical analysis can effectively quantify the ecological grades of metro station projects.

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Section: Construction Of the Indicator Systemmentioning

confidence: 99%

Research on Evaluation of Eco-Metro Station Levels Based on Hierarchical Analysis Models

Zhiming,

Yong Chung Ee,

Siuhong

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

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Direct Fuzzy Evaluation of Financial Risk “Chains” of an Organisation

Fomchenkova

Kharlamov

Melikhov

2022

jour

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The object of the research is the diagnosis and evaluation of financial risks in order to create an effective risk management policy. The subject of the research is the methodology of direct fuzzy evaluation of financial risk “chains” of an organisation. The relevance of the problem is due, on the one hand, to the dynamic and chaotic macro-environment and the business environment of organisations, on the other hand, to the drawback of the analytical and expert methods used to assess financial risks. The former, moreover, imply statistical data processing and operate with quantitative measures. For the latter, the difficulty is the impossibility of their application in a short time interval. From the perspective of operational risk management, financial risks deserve special attention since the effective operation of the entire organisation depends on them. The purpose of the research is to form a methodology for direct fuzzy evaluation of financial risk “chains” of an organisation. The authors apply the methods of mathematical forecasting, fuzzy modelling, calculation of financial and economic indicators, and expert risk assessment. The proposed methodology consists of 12 stages, beginning with the analysis of business processes and the identification of financial risks of the organisation. The main stage is the construction of a fuzzy evaluation model and the calculation of indicators: the probability of occurrence and realization of risks and risky situations of the financial risk “chains”, and the degree of confidence of the calculations conducted. The final stage of the methodology is an analysis of the results obtained to adjust the selected development strategy of the organisation, and the choice of methods for managing identified financial risks bearing the most significant financial and economic losses. The authors conclude the developed methodology allows to accurately assess the threat of a certain risk “chain” and losses from the implementation of specific risk situations for any organisation in the conditions of dynamic changes in internal and external elements of the business environment. The advantage of the methodology should be considered in the comparability of the accuracy of the evaluation and the low cost of modelling.

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Research on Computer Aided Risk Evaluation Model through Fuzzy Hierarchical Analysis

Cited by 2 publications

References 0 publications

Research on Evaluation of Eco-Metro Station Levels Based on Hierarchical Analysis Models

Research on Evaluation of Eco-Metro Station Levels Based on Hierarchical Analysis Models

Direct Fuzzy Evaluation of Financial Risk “Chains” of an Organisation

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