The simulation modeling to choose styles of torso dresses by fuzzy logic

Abstract

This study presents the use of the fuzzy logic technique in choosing Torso dresses for online shopping. Dress styles are established based on analyzing three factors that prioritize clothing selection using the Pareto chart. These factors include the dress’s form, thickness, and color fabric of the dress. These are the three input variables of this model, and each of them has different membership functions. The first input variable is the form of the modeling, and has two membership functions. The second is the fabric type that can be used for dresses, and has five membership functions. The third input variable is the color of the fabric, and has three membership functions. The output is a type of outfit looked for so the actual survey method is conducted in the customers-interest-scale of clothing. The fuzzy If-Then rule and Sugeno controller are used in this modeling. There are 30 Torso dress styles coded for application to fuzzy logic modeling. Besides, the theoretical method is applied in a 2D flat pattern designing a basic Torso pattern and a fuzzy logic model. Additionally, albums of dress styles are created by the 3D simulation method as well as the model’s feasibility is evaluated by the expert method.