Emaletdinova L.Yu. Novikova S.V. Automated generation of Mamdani type fuzzy inference system on the basis of the existing system of Takagi-Sugeno type Раскраски по номерам для детей
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Software systems and computational methods
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Emaletdinova L.Yu. Novikova S.V. Automated generation of Mamdani type fuzzy inference system on the basis of the existing system of Takagi-Sugeno type

Abstract: the article describes a method of determining the parameters of Mamdani fuzzy inference system based on its identity with the Takagi-Sugeno system. The author substantiates the properties that can be used as universal apprximators for both systems. The article introduces an algorithm of formation functions of membership of the right-hand parts of the Mamdani rules and the method of formation of the system as a whole.


Keywords:

Software, fuzzy, logic, Mamdani, Takagi, approximator, Sugeno, automatization, identity, output.



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The article is published in the version approved by the reviewers (after receiving a positive review recommending the manuscript for publication) with corrections made by the author (after receiving the editor’s comments, if any).
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References
1. Zadeh L.A. Fuzzy sets. Information and Control, 1965. — vol. 8. — № 3. — p. 338-353.
2. Shtovba S.D. Vvedenie v teoriyu nechetkikh mnozhestv i nechetkuyu logiku. Vinnitsa: Izd-vo vinnitsko-go gosudarstvennogo tekhnicheskogo universiteta, 2001. — 198 s.
3. Shtovba S.D. Proektirovanie nechetkikh sistem sredstvami MatLab. — M.: Goryachaya liniya-Telkom, 2007. — 284 s.
4. Verbruggen H.B., Babuska R. Constructing fuzzy models by product space clustering // Fuzzy model identification / Eds. H. Helendorn, D. Driankov. — Berlin: Springer, 1998. P. 53-90.
5. Xue Q., Hu Y., Tompkins W. Analysis of hidden units of back propagation model by SVD // Proc. IJCNN, 1990. — Washington. — p. 739-742.
6. Wang L. X. Fuzzy systems are universal approximators // Proc. of the IEEE Int. Conf. on Fuzzy Systems. — San Diego, 1992. — p. 1163-1169
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