2023
DOI: 10.3390/su15031888
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Combining PCA-AHP Combination Weighting to Prioritize Design Elements of Intelligent Wearable Masks

Abstract: Intelligent wearable masks are gaining increasing interest due to COVID-19 and the problems and limitations of existing masks. This paper prioritizes the design elements of personal protective equipment-intelligent wearable masks from the perspective of the product design domain. Using principal component analysis (PCA), the principal components of the design elements were selected first in this paper. Using the combined weights (PCA-AHP) method, the intelligent wearable masks’ prioritized design elements at e… Show more

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Cited by 9 publications
(3 citation statements)
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“…Each judgment is made by comparing the indicators in the left column with those in the top row to determine which of the two components is relatively more important. According to the literature [54], we ultimately decided to invite 20 industry experts with over 10 years of experience to participate in this questionnaire, including 3 product managers, 7 interaction designers, and 10 product designers. The demographic information of the 20 experts participating in the questionnaire is shown in Table 3.…”
Section: Questionnaire Designmentioning
confidence: 99%
“…Each judgment is made by comparing the indicators in the left column with those in the top row to determine which of the two components is relatively more important. According to the literature [54], we ultimately decided to invite 20 industry experts with over 10 years of experience to participate in this questionnaire, including 3 product managers, 7 interaction designers, and 10 product designers. The demographic information of the 20 experts participating in the questionnaire is shown in Table 3.…”
Section: Questionnaire Designmentioning
confidence: 99%
“…Various methods for solving MCDM problems have already been developed and are employed in diverse material selection situations to provide optimal decisions. For instance, (Meng and Dong, 2022;Javaid et al, 2023;Kiris ¸ci et al, 2022;Singh et al, 2020) used outranking methods 7 , while compromise ranking methods are used in (Sanghvi et al, 2021), distance-based methods 8 were employed in (Howari et al, 2023;Bhadra et al, 2022;Kamble et al, 2022;Subba & Shabbiruddin., 2022;Dhanalakshmi et al, 2020), and employed pairwise comparison methods 9 to evaluate the materials in their studies were used by (Chen et al, 2023;Rajput et al, 2022;Varghese and Karande, 2022;Mastura et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…These shifts have led to an increase in the frequency of extreme weather events like dust storms, which have hurt the local ecosystem and slowed economic growth. As a result, academics in adjacent disciplines have shifted their attention to elucidating tree traits and assessing forest health [23]. Data from the IoT, precision medicine, and Industry 4.0 are examples of complex, massive datasets with time series annotations.…”
mentioning
confidence: 99%