Products recommendations using emotional information

Abstract

Kutani-ware is a famous traditional craft which is so significant not only from the economic perspective, but also from the cultural viewpoint. It had a prosperous time in the last decades; however it has been shrinking recently due to the changes of lifestyle or the appearance of more functional products. Compared with the function, the brand image and style of products have become much more important in purchasing; moreover, technology is no longer the sole driving force in the development of products. As the spread of marketing appealing to consumers’ emotion, many methods treating human’s feeling have been developed and applied in many fields. Since human’s emotion has both linear and non-linear characteristics, and it is changing by every moment, a method which fits better is essential. This paper develops a new evaluation model by comparing statistical, fuzzy and pseudo-fuzzy approaches based-on an emotional evaluation database to find a better approach for recommendation of products.

Keywords

Kansei engineering / traditional craft / statistical analysis / fuzzy membership / pseudo-fuzzy approach

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