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Artificial neural networks (ANNs) have been applied successfully in a wide range of fields due to its effective learning ability. In this paper, we propose a grey relational analysis (GRA) based ANN model that can be used to build a design decision support database for facilitating the product design process and matching specific consumers' preferences. The result of an empirical application and a...
As perceived by consumers, the value of an eco-product can be enhanced by its product form in addition to physical product attributes. This paper develops a neural network (NN) and multiattribute decision making (MADM) approach for determining the design combination of product form elements that match a given eco-product value (EPV) and product image. A morphological analysis is used to extract form...
This paper presents a neural network (NN) approach for determining the best design combination of product form elements that match a given product value represented by eco-product value (EpV) attributes. Twenty-seven representative office chairs are derived from 100 collected as the experimental samples by using multidimensional scaling and cluster analysis. Moreover, a morphological analysis is applied...
Eco-product design decision-making is often based on vaguely structured information because of the technical and natural attributes as well as inherently conflicting design objectives to be considered. To address this issue, this paper presents a design decision support system to translate consumers' perception or feeling of an eco-product into design elements, and help product designers understand...
This paper presents a neural network (NN) approach for determining the design combination of product form elements that match a given eco-product value (EPV) and product image. A morphological analysis is used to extract form elements from these sample office chairs. The experimental study identifies 7 office chair design elements and 27 representative office chairs as experimental samples for developing...
How to create highly-reputable designs and hot-selling products is an essential issue on product design. This paper presents an experimental study to explore the relationship between the consumers' perceptions and product form elements, using one linear quantitative technique (i.e. the grey model) and one nonlinear quantitative technique (i.e. the neural network model). Thirty representative personal...
This paper presents a neural network (NN) approach to determining the best matching colors for a given product image in product design. With a wide variety of forms and colors on the market, mobile phones are used in an experimental study to illustrate the approach. 33 representative mobile phones and 50 commonly used colors are used as experimental samples to examine how product color affects a product...
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