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Autex Research Journal

The Journal of Association of Universities for Textiles (AUTEX)

IMPACT FACTOR 2018: 0.927
5-year IMPACT FACTOR: 1.016

CiteScore 2018: 1.21

SCImago Journal Rank (SJR) 2018: 0.395
Source Normalized Impact per Paper (SNIP) 2018: 1.044

Open Access
Online
ISSN
2300-0929
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Development of Mask Design Knowledge Base Based on Sensory Evaluation and Fuzzy Logic

Yan Hong / Zhebin Xue / Chunyu Liu / Xiaoqun Dai
Published Online: 2020-01-16 | DOI: https://doi.org/10.2478/aut-2019-0069

Abstract

This article focuses on the development of the mask design knowledge base, which is expected to be applied in a personalized mask design system. To realize the proposed knowledge base, a perceptual descriptive space of the mask is first developed for the description of both functional and aesthetic perceptions of a mask. The mask ontology is also developed to form the mask element matrix. Mask design knowledge is expressed as the relationship between the perceptual descriptive space and the mask ontology, which is extracted by a group of experienced designers through a sensory evaluation procedure. This relationship is then simulated by fuzzy logic tools. The proposed knowledge base has been validated that it is reliable. The personalized mask design system can be further developed with the propose mask design knowledge base.

Keywords: Mask; knowledgebase; fuzzy logic

References

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About the article

Published Online: 2020-01-16


Citation Information: Autex Research Journal, ISSN (Online) 2300-0929, DOI: https://doi.org/10.2478/aut-2019-0069.

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© 2019 Yan Hong et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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