Development of a Fuzzy Logic System to Identify the Risk of Projects Financed from Structural Funds
Keywords:Fuzzy Logic System (FLS), artificial intelligence, financial risk, structural funds, centroid method
The fuzzy logic system developed in this research paper seeks to identify the financial risk of projects financed from structural funds when changes occur in project values, in the duration of the projects and in the implementation durations. Those two factors are known to influence the financial risk. The fuzzy system was simulated using Matlab and the results showed its operation and the conclusion that the financial risk of the project is dependent on the developments values and on the implementation duration. The developed and tested fuzzy logic system provides information on financial risk intensity organized into three categories: small, medium and large and on the inflection point of transition from low risk to high risk. This is considered an early warning system for the management staff with responsibilities in structural funds.
A. Altrock, Fuzzy logic and Neuro Fuzzy Logic Applications Explained (1995); Prentice Hall, Englewood Cliffsm.
I.A. Bradea, C. Delcea, R.M. Paun (2014); Managing and Controlling the KRIs in Hospitals Proceedings of 24rd IBIMA Conference: Crafting Global Competitive Economies: 2020 Vision Strategic Planning & Smart Implementation, Italy, ISBN: 978-0-9860419-3-8, 1824- 1830.
I.A. Bradea (2014); Risks in Hospitals. Assessment and Management The Romanian Economic Journal, ISSN: 2286-2056, 54(XVII): 25-37.
R. Fuller (2000); Introduction to Neurofuzzy Systems, Advances an Inteligent and Soft Computing, vol 2, ISBN 978-3-7908-1256-5.
C. Kahraman, I. Kaya (2010); A Fuzzy Multicriteria Methodology for selection Among Energy Alternatives, IExpert Systems with Applications, 37(9): 6270-6281.
S.M. Mousave, F. Joloi, R. Tavakkoli-Moghaddam (2013); A Fuzzy Stochastic Multi- Attribute Group Decision-Making Approach for Selection Problems, Group Decision and Negotiation, 22(2): 207-233.
A Fuzzy Stochastic Multi- Attribute Group Decision-Making Approach for Selection Problems, Group Decision and Negotiation, 22(2): 207-233. http://dx.doi.org/10.1007/s10726-011-9259-1
S. Nadaban (2015); Fuzzy Euclidean Normed Spaces for Data Mining Applications, International Journal of Computers Communications & Control, 10(1): 70-77. http://dx.doi.org/10.15837/ijccc.2015.1.1564
S. Nadaban, I. Dzitac (2014); Atomic Decompositions of Fuzzy Normed Linear Spaces for Wavelet Applications, Informatica, http://dx.doi.org/10.15388/Informatica.2014.33, 25(4): 643-662. http://dx.doi.org/10.15388/Informatica.2014.33
A. Nieto-Morote, F. Ruz-Vila (2011); A Fuzzy Approach to Construction project Risk Assessement, International Journal of Project Management, 29(2): 220-231.
A Fuzzy Approach to Construction project Risk Assessement, International Journal of Project Management, 29(2): 220-231. http://dx.doi.org/10.1016/j.ijproman.2010.02.002
E. Scarlat, N. ChiriţÄƒ, I.A. Bradea (2012); Indicators and Metrics Used in the Enterprise Risk Management (ERM), Economic Computation and Economic Cybernetics Studies and Research Journal, 4(46):5-18.
M.L. Tseng (2010); Implementation and Performance Evaluation Using the Fuzzy network Balanced Scorecard, Computers & Education, 55(1): 188-201. http://dx.doi.org/10.1016/j.compedu.2010.01.004
Y.L. Xu, J.F.Y. Yeung, A.P.C. Chan, D.W.N. Chan, S.Q. Wang, Y.L. Ke (2010); Developing a Risk Assessement Model for PPP project in China - A Fuzzy Synthetic Evaluation, Automation in Construction, 19(7): 9293-943.
Developing a Risk Assessement Model for PPP project in China - A Fuzzy Synthetic Evaluation, Automation in Construction, 19(7): 9293-943.
L.A. Zadeh (1992); Fuzzy logic and the calculus of fuzzy if-then rules, Proceedings of the 22nd Intl. Symp. on Multiple-Valued Logic, Los Alamitos, CA: IEEE Computer Society Press, 530-561. http://dx.doi.org/10.1109/ismvl.1992.186834
L.A. Zadeh (1996); Fuzzy logic - computing with words, IEEE Trans. Fuzzy Systems, 4(2):103-111. http://dx.doi.org/10.1109/91.493904
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.