Kansei Feature Analysis for Traditional Crafts

Abstract

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.