Affiliations: School of Art and Design, Nanchang University, Nanchang, China
Correspondence:
[*]
Corresponding author. Xinhui Kang, School of Art and Design, Nanchang University, No. 999 Xuefu Avenue, Nanchang 330031, Jiangxi, China. E-mail: nbukxh@163.com.
Abstract: The emotional value of products, especially aesthetic qualities are conducive to increasing the market competitiveness along with the improvement of living standards. Therefore, the main purpose of this study is to combine the rough set theory and fuzzy quality function deployment design matrix to construct an innovative model, thus developing an aesthetic product design for customer satisfaction. Taking Blender as an example, the author divides this paper into three phases. Firstly, the author summarizes seven aesthetic qualities through the literature discussions and determines the core aesthetic qualities of Blender by making rough set theory attribute reduction and importance calculation. Secondly, the results are imported into the fuzzy quality function deployment needs facet, and the correlation matrix is established by consulting the expert’s opinions to obtain the optimal combination of design features. Finally, the combination of the features produces a bio-conceptual shape via a bionics step. The results show that four out of seven aesthetic attributes (ie, concise, original, elegant, and comfortable) are found to be more significant. The optimal combination of product features are integrated with the bio-inspired method to generate three design solutions, in which the styling of butterfly concept effectively enhances the products’ emotional value and customers’ aesthetic satisfaction degree.
Keywords: Product design, customer satisfaction, rough set theory, fuzzy quality function deployment, Blender
