Using of fuzzy theory extracts the fit size of human

Mong Hien Thi Nguyen (), Tuong Quan Vo and Mai Huong Bui
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Mong Hien Thi Nguyen: Ho Chi Minh City University of Technology, VNU–HCM
Tuong Quan Vo: Ho Chi Minh City University of Technology, VNU–HCM
Mai Huong Bui: Ho Chi Minh City University of Technology, VNU–HCM

International Journal of System Assurance Engineering and Management, No 0, 8 pages

Abstract: Abstract This paper presents a method to select a fit size from the data sizing system by using fuzzy technique. First, we coding size from data in the sizing system with the numerical order to use looking for sizes. Second, choosing primary dimensions from the sizing table which is coded. Then, the fuzzy technique is used to choose the fit size of human which is based on the real data in the table and any the body’s dimension in the edge conditions. And finally, the simulation results are introduced. The sizing system table in this research has 24 sizes and 3 kinds of different inseam length measurements for three human shapes have different height, such as regular, short and tall. The principal component analysis method and look at directly size sign in the table are used to have primary dimensions. There are variables to input the fuzzy logic model. We apply fuzzy logic for selection size of human by the Sugeno model and using the If–Then rule. The result of the research is the simulation program for selection of the size with the Matlab software. Selecting the fit size with the traditional method will be taken a lot of time and shows the result is not clearly. This study is tested by two ways from input any the body’s measurements and measurements from the sizing system into the simulation program. Extracting sizes are very useful in the manufacture of garments and business clothing by online, face to face. It will reduce the time to choose the size for fitting body measurements.

Keywords: Simulation; Fuzzy logic; Sizing system; Coding size; Primary dimension (search for similar items in EconPapers)
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DOI: 10.1007/s13198-020-01010-w

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