Development of Mask Design Knowledge Base Based on Sensory Evaluation and Fuzzy Logic

Hong, Yan; Xue, Zhebin; Liu, Chunyu; Dai, Xiaoqun

doi:10.2478/aut-2019-0069

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The general principle of garment design knowledge base is the model between fashion style words and garment component elements. 47 The above research results provide a good solution for the development of the fashion recommendation system. However, the above technologies are limited to the recommendation of fashion products in terms of style and color.…”

mentioning

confidence: 73%

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Xue

Jin

Hong

et al. 2022

Textile Research Journal

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Currently, consumers are increasing the demand for personalized fashion recommendation systems, especially in e-commerce. The success of fashion recommendation largely relies on the fashion design knowledge base, which is the modelling of the professional knowledge and experience of fashion designers. As fashion products are rather emotional and easily influenced by fashion trends, fashion design knowledge bases always involve rich fashion-style words and various garment component elements, which results in conflict rules in personalized fashion recommendations. For system users, the recommendations cannot fully meet their personalized needs. In this context, this article proposes a novel garment design knowledge base by integrating the conflict rule processing mechanism and its application to the personalized fashion recommendation system. The proposed research methodology of the processing mechanism is based on subjective evaluation and fuzzy logic. Firstly, through the subjective evaluation by an expert group, the relationship between fashion-style words and garment component elements is established. After that, the conflict categories are identified and then the relationship between conflict categories and garment component elements is established. As the experimental data obtained from the subjective evaluation are semantics, fuzzy logic is employed to quantify and model the relationships. Finally, the established processing mechanism of conflict rules is applied to establish a personalized dress recommendation system in order to validate its performance. The experimental results show that the proposed mechanism is feasible and able to enhance the success of the recommendation, which can be further applied to the recommendation of all kinds of garments and other industrial products.

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mentioning

confidence: 73%

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Xue

Jin

Hong

et al. 2022

Textile Research Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…In other words, reusable masks had the least impact on the environment during the use phase but still caused a greater burden on the environment during the recycling phase [16]. Thus, it is worthwhile to construct a complete evaluation index system of masks and apply a scientific method for comprehensive sustainability evaluation [17]. In addition, although Núria Boix et al compared five different types of masks in the global market, whether these five types of masks cover all basic types of masks is still worth considering.…”

Section: Introductionmentioning

confidence: 99%

The Sustainability Evaluation of Masks Based on the Integrated Rank Sum Ratio and Entropy Weight Method

Zhu

Xin

et al. 2022

Sustainability

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Due to the seriousness of COVID-19, masks are considered to be as a key and effective device to cut off the spread of viruses and are widely used by people, such as doctors and patients. Hundreds of millions of masks used worldwide in daily life will inevitably cause huge pollution and damage to the environment. However, existing research has not yet provided a method to simultaneously evaluate the economic, environmental, and social aspects of sustainable design of masks, which brings great barriers and challenges for designers to make sustainability decisions on masks and consumers’ behavioral decisions on mask purchases. Consequently, on the basis of principles of sustainability evaluation of masks, this work evaluates ten masks of different materials (including two newly designed masks) by using a novel hybrid of rank-sum ratio and entropy weight method. The results indicate that some disposable masks also show better sustainability than reusable masks, and in addition, the integrated rank-sum ratio and entropy weight method can effectively realize the sustainability evaluation of masks. The main contribution is to furnish an effective decision-making reference for sustainability evaluation of masks while greatly reducing the negative impacts of masks on the environment during the epidemic.

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Design of Smart Air Purifier Facial Mask

Sethumadhavan¹,

Mugunthan²,

Sakthivel³

et al. 2020

2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)

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Development of Mask Design Knowledge Base Based on Sensory Evaluation and Fuzzy Logic

Cited by 3 publications

References 11 publications

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

Development of novel fashion design knowledge base by integrating conflict rule processing mechanism and its application in personalized fashion recommendations

The Sustainability Evaluation of Masks Based on the Integrated Rank Sum Ratio and Entropy Weight Method

Design of Smart Air Purifier Facial Mask

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