BÜYÜK BEDEN TÜKETİCİNİN GRİ İLİŞKİ ANALİZ YÖNTEMİ İLE KIYAFET SEÇİMİNDE KARŞILAŞTIĞI ZORLUKLARIN ÇÖZÜMLENMESİ

Obesity and overweight, which is commonly seen with weight gain and loss problems, is one of the biggest problems of this century. This problem can lead to various health problems as well as trigger psychological disorders. Especially in our century, which we live in the digital age, the widespread use of social media platforms shows that individuals experience problems such as isolation and loneliness from society by decreasing their self-confidence as they move away from their ideal body size. Asocialization, the decrease in sports activities, the fact that many needs can be done comfortably from where we sit, and this situation leaves individuals even more sedentary, accelerates weight gain in this ongoing process and as a result, it becomes important to meet the increasing plus size demands. The ergonomically appropriate design of the clothes designed for this mass becomes a necessity. In addition, the fabric and material choices used in the production of clothes and the changes in the anthropometric measurements of individuals should be reflected in the mold and production in the best way. It is also possible to produce ready-to-wear garments for the plus size consumer mass with color and pattern choices in accordance with the fashion of the day and model designs reflecting international lines. The aim of this research is to analyze the difficulties experienced by plus size consumers in choosing clothing, which is rapidly increasing and becoming a problem in society. The data used in the analysis were collected by surveying plus size consumers between the ages of 18-40. In the analysis of the data, descriptive analysis and then factor analysis were performed and gray relationship analysis method, one of the multi-criteria decision-making techniques, was applied to the data obtained. As a result of this analysis obtained from plus size consumers, it is aimed to draw the attention of clothing manufacturers to this issue and to provide guidance for the solution suggestions developed according to the results.