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

Jianqiang Sun; Xingyu Chai; Fenggang Zhang; Zhengying Cai

doi:doi:10.11648/j.ijfbr.20160206.12

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

Jianqiang Sun, Xingyu Chai, Fenggang Zhang, Zhengying Cai

Published in International Journal of Finance and Banking Research (Volume 2, Issue 6)

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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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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TY  - JOUR
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
Y1  - 2017/01/10
PY  - 2017
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

Jianqiang Sun

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

College of Economics and Management, China Three Gorges University, Yichang, China
Fenggang Zhang

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

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
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
Y1  - 2017/01/10
PY  - 2017
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  -

Copy | Download