Creating a Program to Predict the Clothing Size Using Fuzzy Logic

Mong Hien Thi Nguyen; Minh Duong Nguyen; Mau Tung Nguyen

doi:10.54644/jte.2024.1701

Các tác giả

Mong Hien Thi Nguyen University of Technology, VNU–HCM, Vietnam https://orcid.org/0000-0001-7005-3931
Minh Duong Nguyen University of Technology, VNU–HCM, Vietnam https://orcid.org/0000-0001-7005-3931
Mau Tung Nguyen Industrial University of Ho Chi Minh City, Vietnam https://orcid.org/0000-0002-6824-7339

Email tác giả liên hệ:

ntmhien14719@hcmut.edu.vn

DOI:

https://doi.org/10.54644/jte.2024.1701

Từ khóa:

Size chart, Fuzzy logic, Clothing, Extract, Trousers

Tóm tắt

This study presents a program to predict trousers’ size using a fuzzy logic technique. There are three variables to input into the program to give the output result of the fit size. The first variable is the waist measurement. The second variable is the hip measurement. The third variable is the trousers’ length measurement. The size determination is done by the Min-Max rule through the IF-THEN structure, effectively managing the commands in the model. The fuzzy rule matrix consists of 108 rows and 6 columns, in which each row represents a fuzzy rule. Each row is a fuzzy rule. The first column represents six groups of neck circumference. The second column represents six groups of hip circumference. The third column represents three groups of pants length. The fourth column represents six predicted output sizes. The fifth column is the weight coefficient. The last column represents the type of logical connection. This size prediction method only takes about five to six seconds to predict the fit size. This reduces the time to choose the size compared to the traditional method. In addition, it reduces the risk of damaging the sample. This method to predict sizes can apply to many other types of clothing as well as many other fields of the garment industry

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Tiểu sử của Tác giả

Mong Hien Thi Nguyen, University of Technology, VNU–HCM, Vietnam

Nguyen Thi Mong Hien. She received her M.S. from HCM University of Technology and Education, Vietnam 2004. M.S. degree from Hanoi University of Science and Technology, Vietnam in 2016. She is a Ph.D. Mechanical – Electronic in Ho Chi Minh City University of Technology, Vietnam. Her major area is establishing the sizing system table, pattern design 2D and 3D, and fuzzy logic in the garment field. She spent more than 20 years in academic and teaching.

Email: ntmhien14719@hcmut.edu.vn. ORCID: https://orcid.org/0000-0002-5384-9775

Minh Duong Nguyen, University of Technology, VNU–HCM, Vietnam

Nguyen Minh Duong. He finished The Engineering Program in 2013 and the Master's Program in 2017 at Ho Chi Minh City University of Technology and then started a Mechanical Engineering job in the Metrology Lab at HCMUT. Extensive experience in the field of Mechanical and Industrial Automation. Has participated in 01 scientific research project at Vietnam National University, Ho Chi Minh City – VNU-HCM and 04 Department of Science and Technology (DOST). Author of 03 scientific articles and Co-authored 05 scientific articles published in domestic journals.

Email: nmduong@hcmut.edu.vn. ORCID: https://orcid.org/0000-0001-7005-3931

Mau Tung Nguyen , Industrial University of Ho Chi Minh City, Vietnam

Nguyen Mau Tung. He received his Ph.D. in Textile Technology from Hanoi University of Science and Technology in April 2024. Before that, he completed his Bachelor’s degree in Garment Technology at Ho Chi Minh City University of Technology and Education in April 2003. He earned a Master’s in Textile Technology from Hanoi University of Science and Technology in May 2009. He is a lecturer at Ho Chi Minh City University of Industry. His teaching and research focus on sizing systems and 2D and 3D garment design.

Email: nguyenmautung@iuh.edu.vn. ORCID: https://orcid.org/0000-0002-6824-7339

Tài liệu tham khảo

K. Liu, J. Wang, E. Kamalha, V. Li, and X. Zeng, “Construction of a prediction model for body dimensions used in garment pattern making based on anthropometric data learning,” The Journal of The Textile Institute, vol. 108, no. 12, pp. 2107–2114, 2017, doi: 10.1080/00405000.2017.1315794. DOI: https://doi.org/10.1080/00405000.2017.1315794

A. P. Chan and K. Y. Cheong, “Improving the Apparel Virtual Size Fitting Prediction under Psychographic Characteristics and 3D Body Measurements Using Artificial Neural Network,” Human Factors for Apparel and Textile Engineering, vol. 32, pp. 94–105, 2022, doi: 10.54941/ahfe1001543. DOI: https://doi.org/10.54941/ahfe1001543

Z. Zhuo and C. Honglian, “3D modeling design and rapid style recommendation of polo shirt based on interactive genetic algorithm,” Journal of Engineered Fibers and Fabrics, vol. 15, pp. 1-9, 2020, doi: 10.1177/1558925020966664. DOI: https://doi.org/10.1177/1558925020966664

H. Xu, R. Ren, and H. Chen, “Research on T-shirt-style design based on Kansei image using back-propagation neural networks,” AUTEX Research Journal, vol. 24, no.1, p. 20230007, 2024, doi:10.1515/aut-2023-0007. DOI: https://doi.org/10.1515/aut-2023-0007

Y. Karasawa, M. Uemae, and M. Kamijo, “Prediction of clothing comfort sensation of an undershirt using artificial neural networks with psychophysiological responses as input data,” Textile Research Journal, vol. 92, no. 3-4, 2022, doi: 10.1177/00405175211034242. DOI: https://doi.org/10.1177/00405175211034242

B. Bizuneh, A. Destaw, F. Hailu, S.Tsegaye, and Bizuayehu, “Garment sizing system development for Amhara policemen uniforms using data mining techniques,” Research Journal of Textile and Apparel Mamo, vol. ahead-of-print, no. ahead-of-print, doi: 10.1108/RJTA-02-2023-0023. DOI: https://doi.org/10.1108/RJTA-02-2023-0023

K. Liu, H. Wu, C. Zhu, J. Wang, X. Zeng, X. Tao, and P. Bruniaux, “An evaluation of garment fit to improve customer body fit of fashion design clothing,” Int J Adv Manuf Technol, vol.120, pp. 2685–2699, 2022, doi: 10.1007/s00170-022-08965-z. DOI: https://doi.org/10.1007/s00170-022-08965-z

J. Sarkar, N. M. Rifat, Md. S. U. Zaman, Md. A. A. Faruque, and Z. H. Prottoy, “Advanced Technology in Apparel Manufacturing. Advanced Technology in Textiles,” Springer, Singapore, pp. 177-231, 2023, doi: 10.1007/978-981-99-2142-37. DOI: https://doi.org/10.1007/978-981-99-2142-3_7

E. Onaran and S. Yanık, "Predicting Cycle Times in Textile Manufacturing Using Artificial Neural Network. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making,” INFUS 2019. Advances in Intelligent Systems and Computing, 1029. Springer, Cham. pp. 305-312, 2020, doi: 10.1007/978-3-030-23756-1_38. DOI: https://doi.org/10.1007/978-3-030-23756-1_38

Y. Kuvvetlı and P. D. Baykal, “Determination of Difficulty Level for Garment Model with Fuzzy Logic Method,” Tekstil Ve Mühendis, vol. 28, no.121, pp. 39-47, 2021. DOI: https://doi.org/10.7216/1300759920212812105

Z. Wang et al., “An Interactive Personalized Garment Design Recommendation System Using Intelligent Techniques,” Applied Sciences, vol. 12, no. 9, p. 4654, May 2022, doi: 10.3390/app12094654. DOI: https://doi.org/10.3390/app12094654

M. Kim, Y. J. Sohn, W. Y. Lee, and C. S. Kim, “Fuzzy control-based engine sizing optimization for a fuel cell/battery hybrid mini-bus,” Journal of Power Sources, vol. 178, no. 2, pp. 706-710, April 2008, doi: 10.1016/j.jpowsour.2007.12.047. DOI: https://doi.org/10.1016/j.jpowsour.2007.12.047

J. Sarkara, M. Abdullah, A. Faruqueb, and E. Khalil, “Predicting the tearing strength of laser engraved denim garments using a fuzzy logic approach,” Heliyon, vol. 8, no. 1, 2022. DOI: https://doi.org/10.1016/j.heliyon.2022.e08740

J. Sarkar, M. Abdullah, A. Faruque, and M. S. Mondal, “Modeling the seam strength of denim garments by using fuzzy expert system,” Journal of Engineered Fibers and Fabrics, vol. 1, 2021, doi: 10.1177/15589250219889. DOI: https://doi.org/10.1177/1558925021988976

J. Sarkar, M. Abdullah, A. Faruque, and M. S. Mondal, “Application of Neural Network for the Prediction of Loss in Mechanical Properties of Aramid Fabrics After Thermal Aging,” Textile and Apparel, vol. 34, no. 1, pp. 77-86, 2024, doi: 10.32710/tekstilvekonfeksiyon.1280482. DOI: https://doi.org/10.32710/tekstilvekonfeksiyon.1280482

J. Pei, H. Park, S. P. Ashdown, and A. Vuruskan, “A sizing improvement methodology based on adjustment of interior accommodation rates across measurement categories within a size chart,” International Journal of Clothing Science and Technology, vol. 29, no. 5, pp. 716-731, 2017, doi: 10.1108/IJCST-03-2017-0024. DOI: https://doi.org/10.1108/IJCST-03-2017-0024

N. T. M. Hien, V. T. Quan, and B. M. Huong, “Using of fuzzy theory extracts the fit size of human,” International Journal of System Assurance Engineering and Management, vol. 14, pp. 29–36, 2023, doi: 10.1007/s13198-020-01010-w. DOI: https://doi.org/10.1007/s13198-020-01010-w

N. Saaludin, A. Saad, and C. Mason, “Intelligent Size Matching Recommender System: Fuzzy Logic Approach in Children Clothing Selection,” IOP Conference Series: Materials Science and Engineering, pp. 17-18, 2020, doi: 10.1088/1757-899X/917/1/012014. DOI: https://doi.org/10.1088/1757-899X/917/1/012014

J. Zhang, K. Liu, M. Dong, H. Yuan, C. Zhu, and X. Zeng, “An intelligent garment recommendation system based on fuzzy techniques,” The Journal of The Textile Institute, vol. 111, no. 9, pp. 1324–1330, 2019, doi: 10.1080/00405000.2019.1694351. DOI: https://doi.org/10.1080/00405000.2019.1694351

J. Zhang, W. Li, X. Zeng, H. Yuan, and M. Dong, “Garment knowledge base development based on fuzzy technology for recommendation system,” Iindustria textile, vol. 71, no. 5, 2020. DOI: https://doi.org/10.35530/IT.071.05.1724

M. H. Jalil and M. Shanat, “Developing a Sustainable Childrenswear Sizing System: Body Size, Silhouette Shape and Clothing Key Dimensions,” New Design Ideas, vol. 6, no. 2, pp.229-242, 2022.

A. A. Opaleye, A. Kolawole, and O. E. C. Owaba, “Application of Fuzzy Clustering Methodology for Garment Sizing,” American Journal of Data Mining and Knowledge Discovery, vol. 4, no. 1, pp. 24-31, 2019, doi: 10.11648/j.ajdmkd.20190401.15. DOI: https://doi.org/10.11648/j.ajdmkd.20190401.15

N. T. M. Hien, V. T. Quan, B. M. Huong, and P. V. Anh, “The Algorithm to Automatically Extract Body Sizes and Shapes,” Tekstilec, vol. 65, no. 1, pp. 67-80, 2022, doi: 10.14502/tekstilec.65.2021018. DOI: https://doi.org/10.14502/tekstilec.65.2021018

https://sanding.vn/ao-so-mi-nam-tay-dai/ao-somi-nam-soc-caro-nhuyen-mau-xanh-navy-130228-sdm3010.html

J. K. Peckol, Introduction to Fuzzy Logic, Wiley; 1st edition, 2021. DOI: https://doi.org/10.1002/9781119772644