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Modeling Risk Management in Sustainable Construction pp 293–299Cite as

An Approach to Overseas Iron Ore Investment Risk Assessment Based on Fuzzy Neural Network

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Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

Abstract

The iron ore investment overseas influenced by a variety of risk factors including geological reserves risk, market risk, the risk of the investment environment, political and legal risks, and etc. Based on the theory of risk assessment, this paper firstly analyzed the risk from the asset influence and frequency of threat, set up risk level structure of overseas iron ore investment, and presented the membership matrices for judgment set. Then, the neural network and fuzzy reasoning theory were applied to evaluate the risk of overseas iron ore investment to obtain its risk grade. Finally, a calculation example was used to show how the method works, and the error analysis was applied to detecting effectiveness and reliability of the model performance.

Imbursed by Shaanxi province specialties fund of importance subject building

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References

  1. Hou Yubin and Yang Juan (2010) Risk analysis on fuzzy Synthetical Judgment of iron Investment Oversea. China Mining Magazine 2: 61–63

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  2. Han Enze and Zhu Yingchao (2010) Evaluation of overseas investment risk for Chinese Oil Corporation based on fuzzy-AHP. Henan Science 2: 235–239

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  3. Fu Yu and Wu Xiaoping (2010) An approach to information systems security risk assessment based on fuzzy-combinatorial neural network. Journal of Naval University of Engineering 1: 18–23

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  4. Xiao Long and Fang Yong (2006) Risk evaluation of information system based on fuzzy neural net-work. Research on Computer Application 5: 137–139

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Author information

Authors and Affiliations

  1. School of Management, Xi’an University of Architecture & Technology, Xi’an, Shanxi, 710055, People’s Republic of China

    Li Guo, Caiwu Lu & Zhen Yang

Authors
  1. Li Guo
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  2. Caiwu Lu
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  3. Zhen Yang
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Corresponding author

Correspondence to Li Guo .

Editor information

Editors and Affiliations

  1. , Risklab, University of Toronto, Spadina Crescent 1, Toronto, M5S3G3, Ontario, Canada

    Desheng Dash Wu

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© 2011 Springer-Verlag Berlin Heidelberg

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Guo, L., Lu, C., Yang, Z. (2011). An Approach to Overseas Iron Ore Investment Risk Assessment Based on Fuzzy Neural Network. In: Wu, D. (eds) Modeling Risk Management in Sustainable Construction. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15243-6_34

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