Choosing the Size for Ready-to-Wear Clothing in the Size Chart by Fuzzy Logic
Mong Hien Thi Nguyen1, Mai-Huong BUI2, Tuong Quan Vo3

1Mong Hien Thi Nguyen, Department of Textile-Garment Engineering, Ho Chi Minh City University of Technology, Faculty of Mechanical Engineering
2Mai-Huong BUI, Department of Textile-Garment Engineering, Ho Chi Minh City University of Technology, Faculty of Mechanical Engineering,
3Tuong Quan Vo, Department of Mechatronics and Head of the Metrology Lab, Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology, Viet Nam

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1688-1692 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7517068519/19©BEIESP
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Abstract: Choosing the size for Ready-to-Wear clothing usually takes a lot of time to have a fit size. So, researching on this problem is necessary. In this paper presents a method to choose sizes for ready-to-wear clothing by using a fuzzy technique.We use the Sugenomodel for the MISO fuzzy, which includes two inputs and one output.Firstly, we choose primary dimensions in the sizing chart with the first dimension is a horizontal dimension and other is a vertical dimension. Secondly, taking edge conditions for inputting variables. Then, the fuzzy technique is used to choose the fit size on the base of body’s measurements in the size chart, and any the body’s measurements on the edge conditions. And finally, the simulation results are introduced. In this research, the sizing chart table has 9 sizes with 9 different heights. Pants-waist circumference and body height are two primary dimensions. These dimensions will input variables in the fuzzy simulation model.The fuzzy logic is used to select the size haveMax-Min ruleand membership functions’shape which is triangular.Structure IF-THEN to practice commands effectively in Sugeno. The result is the simulation model to select sizes in the Matlab software. Selecting the fit size with the traditional method takes a lot of time and shows the result is not clearly, but with fuzzy technique reduces the time.The study tested intwo ways, including input measurements from any the body’s measurements and input measurements in the sizing chart.It opens another way to select the size suitable for the body. Index Terms
Keywords: Choosing The Size, Size Chart, Fuzzy Logic, Primary Dimension, Fit Size.

Scope of the Article: Fuzzy Logic