Kansei Feature Analysis for Traditional Crafts

The aesthetic aspect plays a crucial role in human choice, thus studies dealing with subjective (called kansei in Japanese) evaluation and decision support by focusing on customers´ psychological needs and personal taste became very essential. The purpose of the study is to illustrate two similar aggregation methods for multi-criteria analysis of a problem characterized by attributes of heterogeneous types which could be numerical, categorical, or descriptive, respectively. In this specific issue of supporting choice from a given set of traditional crafts in Japan, we are dealing with kansei attributes and kansei data (values of attributes) rather than the normal ones. Our primary purpose is to develop a web-based interactive system to support salesman in a shop or to support internet based selling by recognizing and proposing alternatives which fit the preferences of customers.