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To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System

Received: 16 October 2016     Accepted: 7 November 2016     Published: 10 January 2017
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Abstract

To measure the risk of projects financed from structural funds is very difficult because there involved a great number of risks during the whole project process. Accordingly, a fuzzy logic system was applied to measure the risk of projects financed from a structural fund. First, the systematic structure of risk is also investigated, and the risk activities are analyzed for reflecting the finance problems, where the financing risk consists of basic risk element, project risk, and financing agreement in the second level. Second, a fuzzy risk measurement method is illustrated for risk management of projects. For each systematic part, the fuzzy logic system can be used to analyze and quantify different risks. At last, an experimental analysis was presented to verify the proposed model and some practical instructions are also indicated, as well as some interesting conclusions and future research directions.

Published in International Journal of Finance and Banking Research (Volume 2, Issue 6)
DOI 10.11648/j.ijfbr.20160206.12
Page(s) 193-203
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Projects Financed, Structural Funds, Fuzzy Logic System, Minimax

References
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Cite This Article
  • APA Style

    Jianqiang Sun, Xingyu Chai, Fenggang Zhang, Zhengying Cai. (2017). To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System. International Journal of Finance and Banking Research, 2(6), 193-203. https://doi.org/10.11648/j.ijfbr.20160206.12

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    ACS Style

    Jianqiang Sun; Xingyu Chai; Fenggang Zhang; Zhengying Cai. To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System. Int. J. Finance Bank. Res. 2017, 2(6), 193-203. doi: 10.11648/j.ijfbr.20160206.12

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    AMA Style

    Jianqiang Sun, Xingyu Chai, Fenggang Zhang, Zhengying Cai. To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System. Int J Finance Bank Res. 2017;2(6):193-203. doi: 10.11648/j.ijfbr.20160206.12

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  • @article{10.11648/j.ijfbr.20160206.12,
      author = {Jianqiang Sun and Xingyu Chai and Fenggang Zhang and Zhengying Cai},
      title = {To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System},
      journal = {International Journal of Finance and Banking Research},
      volume = {2},
      number = {6},
      pages = {193-203},
      doi = {10.11648/j.ijfbr.20160206.12},
      url = {https://doi.org/10.11648/j.ijfbr.20160206.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijfbr.20160206.12},
      abstract = {To measure the risk of projects financed from structural funds is very difficult because there involved a great number of risks during the whole project process. Accordingly, a fuzzy logic system was applied to measure the risk of projects financed from a structural fund. First, the systematic structure of risk is also investigated, and the risk activities are analyzed for reflecting the finance problems, where the financing risk consists of basic risk element, project risk, and financing agreement in the second level. Second, a fuzzy risk measurement method is illustrated for risk management of projects. For each systematic part, the fuzzy logic system can be used to analyze and quantify different risks. At last, an experimental analysis was presented to verify the proposed model and some practical instructions are also indicated, as well as some interesting conclusions and future research directions.},
     year = {2017}
    }
    

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    T1  - To Measure the Risk of Projects Financed from Structural Funds by a Fuzzy Logic System
    AU  - Jianqiang Sun
    AU  - Xingyu Chai
    AU  - Fenggang Zhang
    AU  - Zhengying Cai
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    N1  - https://doi.org/10.11648/j.ijfbr.20160206.12
    DO  - 10.11648/j.ijfbr.20160206.12
    T2  - International Journal of Finance and Banking Research
    JF  - International Journal of Finance and Banking Research
    JO  - International Journal of Finance and Banking Research
    SP  - 193
    EP  - 203
    PB  - Science Publishing Group
    SN  - 2472-2278
    UR  - https://doi.org/10.11648/j.ijfbr.20160206.12
    AB  - To measure the risk of projects financed from structural funds is very difficult because there involved a great number of risks during the whole project process. Accordingly, a fuzzy logic system was applied to measure the risk of projects financed from a structural fund. First, the systematic structure of risk is also investigated, and the risk activities are analyzed for reflecting the finance problems, where the financing risk consists of basic risk element, project risk, and financing agreement in the second level. Second, a fuzzy risk measurement method is illustrated for risk management of projects. For each systematic part, the fuzzy logic system can be used to analyze and quantify different risks. At last, an experimental analysis was presented to verify the proposed model and some practical instructions are also indicated, as well as some interesting conclusions and future research directions.
    VL  - 2
    IS  - 6
    ER  - 

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Author Information
  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

  • College of Economics and Management, China Three Gorges University, Yichang, China

  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

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