A systematic approach of predicting color preference on the basis of gray relational grade. Issue 2 (13th January 2019)

• Record Type: Journal Article
• Authors: Lin, Hsin‐Hung
• Is Part Of: Color research & application. Volume 44:Issue 2(2019:Apr.)
• Page Start: 194
• Page End: 204
• Publication Date: 2019-01-13
• Subjects: aesthetic measures -- color combination -- color harmony -- color matching -- color perception -- color preference -- color psychology; Color -- Periodicals; 535
• DOI: 10.1002/col.22342
• Languages: English
• ISSNs: 0361-2317

Abstract

Abstract: During the color design process, it is critical to create diversified color schemes for various consumer groups. It is also important to allow members in a design team to brainstorm for creative ideas. A theory of inspecting natural color elements was proposed in this study based on the CIE 1976 (L*, a*, b*) (CIE 1976) color space and the fuzzy c‐means clustering method. A calculation model was built to determine people's preference for colors based on a serialized system. To determine which factors affect the prediction of consumers' preference for a series of products, a gray relational color preference system was used in combination with gray relational grade so that a designer can obtain reasonable prediction results. The proposed system recommends not only the optimal colors for a product but also the optimal color scheme for a series of products.