Abstract
In the paper, the application of Mamdani-type fuzzy inference method to the expert evaluation of the impact of tax administration reforms on the tax potential is investigated. As input data of the system are taken reforms in tax administration and fuzzified by the triangle, trapezoid, Gaussian and Bell membership functions. It has been shown that the suggested fuzzy approach is one of the effective methods for evaluation of tax potential.
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References
A.F. Musayev, Tax potential and its assessment methods. Tax Magazine of Azerbaijan N5(119)/2014
A.F. Musayev, Innovation economics and tax stimulation. (Baku, The University of Azerbaijan, 2014), pp. 184
A. Musayev, A. Gahramanov, Introduction to Econometrics (Baku, The University of Azerbaijan, 2011), p. 173
Tax Reforms in EU Member States, Tax policy challenges for economic growth and fiscal sustainability. Eur. Econom. (2013)
A.S. Karatayev, Instrumentary of Tax Capacity Estimation (2010)
D.N. Slobodchikov, Dissertation. Tax Potential in the System of Inter-Budgetary Relations. (Code, HAC- 08.00.10) (2010)
J. Yen, R. Langari, Fuzzy Logic. Pearson Education (2004)
T.J. Ross, Fuzzy Logic with Engineering Applications. Wiley (2010)
G. Koop, Analysis of Economic Data (Wiley, Chichester, 2000)
E.H. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man-Machine Stud. 7(1), 1–13 (1975)
E.H. Mamdani, Advances in the linguistic synthesis of fuzzy controllers. Int. J. Man Mach. Stud. 8, 669–678 (1976)
M. Sugeno, Industrial Applications of Fuzzy Control, Elsevier Science Pub. Co., (1985)
L.A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybernet. 3(1), 28–44 (1973)
Mathwork, Fuzzy Inference Process. http://www.mathworks.com/
S.S. Rustamov, An application of neuro-fuzzy model for text and speech understanding systems./ PCI’2012, in The IV International Conference “Problems of Cybernetics and Informatics, vol. I (Baku, Azerbaijan, 2012) pp. 213–217
S. Rustamov, E.E. Mustafayev, M.A. Clements, Sentiment analysis using neuro-fuzzy and hidden Markov models of text, in IEEE SoutheastCon 2013, (Jacksonville, USA, 2013) inpress
S.S. Rustamov, M. A. Clements, Sentence-level subjectivity detection using neuro-fuzzy and hidden markov models, in Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis in NAACL-HLT2013, Atlanta, USA, 2013, pp. 108–114
S.S. Rustamov, On an understanding system that supports human-computer dialogue. PCI’2012, in The IV International Conference Problems of Cybernetics and Informatics, vol. I, (Baku, Azerbaijan, 2012), pp. 217–221
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Musayev, A., Madatova, S., Rustamov, S. (2018). Mamdani-Type Fuzzy Inference System for Evaluation of Tax Potential. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_39
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DOI: https://doi.org/10.1007/978-3-319-75408-6_39
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