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Integration strategy of folk art elements in art design based on fuzzy numerical analysis method

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04 nov 2023

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Yu, X. (2021). Research on the strategy of multi ethnic culture blending in school field based on internet of things. Journal of Physics Conference Series, 1744(4), 042022. Search in Google Scholar

Chen, Y. (2020). Research on the protection and inheritance of opera art in linchuan area based on the effectiveness analysis of witch elements in big data era. E3S Web of Conferences, 218(8), 04031. Search in Google Scholar

Bodner, R. (2018). The educative formation of folk costumes. collecting, exhibiting, and renewal at the tyrolean folk art museum and in the work of gertrud pesendorfer (until 1938). Osterreichische Zeitschrift fur Volkskunde, 72(1), 39-83. Search in Google Scholar

Yuan, G. (2021). Research on the application of modern dyeing and weaving art from pattern design to dyeing art based on computer technology in mobile environment. Journal of Physics: Conference Series, 1915(4), 042083 (7pp). Search in Google Scholar

Kim, J., & Heo, W. (2021). Interior design with consumers’ perception about art, brand image, and sustainability. Sustainability, 13. Search in Google Scholar

Goldstein, J. L. (2018). What makes a piece of art or science a masterpiece?.Cell, S0092867418310420-. Search in Google Scholar

Petikam, L., Anjyo, K., & Rhee, T. (2021). Shading rig: dynamic art-directable stylised shading for 3d characters. ACM Transactions on Graphics (TOG). Search in Google Scholar

Ding, L., He, X., & Tang, Y. (2020). Integration of chinese traditional cultural elements in modern graphic design teaching based on big data analysis. Journal of Physics: Conference Series, 1533(4), 042095 (7pp). Search in Google Scholar

Tang, F., & Liu, G. (2021). Application of folk art elements in packaging design based on big data analysis under the background of traditional culture. Journal of Physics Conference Series, 1744(3), 032065. Search in Google Scholar

Wei, Y. (2021). Digital inheritance application of chinese traditional folk art in art teaching in colleges and universities. Forest Chemicals Review. Search in Google Scholar

Wang, P., & Feng, X. (2021). Research on the application of computer technology in the dissemination and promotion of folk art culture. Journal of Physics: Conference Series, 1744(3), 032197 (3pp). Search in Google Scholar

Свтлана Ттаренко. (2020). Formation of elementary astronomic perceptions in older preschool children by means of literature and folk art. Collection of Scientific Papers of Uman State Pedagogical University(3), 160-166. Search in Google Scholar

Belomoeva, O. G., & Ledovskih, N. P. (2020). The problems of the folk-art in the information society conditions. Aspirantskiy Vestnik Povolzhiya, 19(7-8), 44-49. Search in Google Scholar

Hilton, A. (2019). From abramtsevo to zakopane: folk art and national ideals in russia and eastern europe. Russian History, 46(4), 241-261. Search in Google Scholar

Melnychuk, H. (2019). Modern forms of handicraftsmanship preservation and promotion (taking kosiv museum of hutsul folk art and life as an example). Науковий вісник Чернівецького національного університету імені Юрія Федьковича Історія, 2(50), 64. Search in Google Scholar

Xu, Z. (2021). Teaching practice of environmental art design specialty based on fuzzy algorithm. Journal of Intelligent and Fuzzy Systems(1), 1-10. Search in Google Scholar

Chang, S. (2021). Innovative research on the integration of boneless chinese painting techniques and commercial comics based on big data analysis. Journal of Physics: Conference Series, 1992(2), 022005 (7pp). Search in Google Scholar

Bence Ament-Kovács. (2020). Cottage industry co-operatives with applied folk art profile in hungary after world war ii. Acta Ethnographica Hungarica, 65(1), 187-226. Search in Google Scholar

Azamatovna, U. M. (2020). Comparative-typological analysis of the terms of folk art. International Journal on Integrated Education, 3(12), 155-157. Search in Google Scholar

Samarin, A., Savelev, A., Toropov, A., Dzestelova, A., Malykh, V., & Mikhailova, E., et al. (2023). Predictors based on convolutional neural networks for the movement strategy of trainable agents for building customized image descriptors. Pattern Recognition and Image Analysis, 33(2), 139-146. Search in Google Scholar

Ghosh, M. (2019). Traditional folk art community and urban transformation: the case of the artists’ village at kalighat, india. Journal of architectural and planning research, 36(1), 70-89. Search in Google Scholar

Chen, S. (2020). Research on the construction of contemporary chinese literature and art subject knowledge system based on computer technology. Journal of Physics Conference Series, 1648, 032048. Search in Google Scholar

Nakamiya, M., & Kanzawa, Y. (2020). Comparative study of fuzzy clustering for incomplete spherical data based on optimal completion strategy. Proceedings of the Fuzzy System Symposium, 199-202. Search in Google Scholar

Gupta, N. (2019). Tribal and folk art culture of chhattisgarh oriented towards professionalism:. International Journal of Research -GRANTHAALAYAH, 7(11), 291-296. Search in Google Scholar