Fuzzy modeling of the relationship between fashion themes, colors, and styles in a garment

Abstract

Fashion themes, along with suitable colours and design styles, are crucial for creating garments that align with consumer preferences. Traditionally, designers have relied on intuition; however, fuzzy logic has gained recognition as a formal method for modelling the ambiguous nature of fashion design. By applying fuzzy techniques, designers can quantify the relevance of colours and styles to specific fashion themes, leading to a more structured decision-making process. This study aims to develop a fuzzy modelling framework for women’s swimwear design, formalising the relationships between fashion themes, colours, and styles. Expert evaluations contributed to establishing relational matrices for colour elements and design styles, which were validated by comparing them with expert opinions. The ultimate goal of this research is to develop practical guidelines for designers to enhance the alignment of fashion themes with colours and styles, particularly for mass-customised swimwear, utilising a data-driven approach.