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Fuzzy Logic in Personalized Garment Design

Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design

L. C. Wang – X. Y. Zeng – L. Koehl – Y. Chen

Ecole Nationale Supérieure des Arts et Industries Textiles

Abstract. This paper proposes a new intelligent fashion recommender system to select the most relevant garment design scheme for a specific consumer in order to deliver new personalized garment products. This system integrates emotional fashion themes and human perception on personalized body shapes and professional designers’ knowledge. The corresponding perceptual data are systematically collected from professional using sensory evaluation techniques. The perceptual data of consumers and designers are formalized mathematically using fuzzy sets and fuzzy relations. The complex relation between human body measurements and basic sensory descriptors, provided by designers, is modeled using fuzzy decision trees. The fuzzy decision trees constitute an empirical model based on learning data measured and evaluated on a set of representative samples.

The complex relation between basic sensory descriptors and fashion themes, given by consumers, is modeled using fuzzy cognitive maps. The combination of the two models can provide more complete information to the fashion recommender system, making it possible to evaluate if a specific body shape is relevant to a desired emotional fashion theme and which garment design scheme can improve the image of the body shape. The proposed system has been validated in a customized design and mass market selection through the evaluations of target consumers and fashion experts using a method frequently used in marketing study.

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Living off-campus provides students with autonomy, independence, and lower costs, but it also requires greater responsibility and may present challenges such as commuting time, social isolation, and safety concerns about the property itseld. We provide direct access to a widely reference standard of care with specific passages about heating, cooling, plumbing electrical systems

Benefits:

More freedom and independence: Off-campus housing can provide students with more autonomy and independence than living on-campus. Students can choose their own roommates, decorate their own space, and set their own rules.
Lower costs: In some cases, off-campus housing can be more affordable than on-campus housing. Students may be able to find lower rent prices or split costs with roommates.
More space: Off-campus housing may offer more living space than on-campus housing, allowing students to spread out and feel more comfortable.
Opportunity to learn life skills: Living off-campus can help students develop important life skills, such as budgeting, grocery shopping, cooking, and maintaining a household.
More privacy: Living off-campus can offer more privacy than on-campus housing, allowing students to have more control over their living environment and social interactions.

Costs:

Commuting time and expense: Living off-campus may require a longer commute to classes, which can be time-consuming and costly. Students may need to pay for transportation or purchase a car.
Greater responsibility: Living off-campus requires greater responsibility and independence than living on-campus. Students must manage their own bills, maintenance, and household tasks.
Social isolation: Living off-campus may make it harder for students to connect with their peers and participate in campus activities. They may feel more isolated or disconnected from the college community.
Greater risk of safety concerns: Living off-campus can increase the risk of safety concerns, such as crime, accidents, and emergencies. Students may need to take extra precautions to ensure their own safety.
Difficulty with roommate relationships: Off-campus housing can strain roommate relationships due to the greater responsibility and shared living arrangements. Conflicts over finances, cleaning, and social activities can arise and be harder to manage.