Abstract
The purpose of this study is to extract kansei rules from the kansei data of bouquet flowers, and to apply them to bouquet flower systems. These rules are easy to understand for humans, and connect human kansei with design elements of bouquet flowers. However, in this study, it is difficult to analysis for kansei data of bouquet flower using the quantification theory type I, because those data are included for attributes in a relation of linearly dependence. In this paper, kansei data of bouquet flowers having class with the grade of certainty was created, and the data has been analyzed using the C4.5 with certainty factor for class classification. Also, we tried to extract the kansei rules of bouquet flowers easy to understand for humans from generated decision trees, and to apply there rules to the bouquet flowers display system. As a result, obtained rules could be interpreted to fit human kansei, and showed some degree of effectiveness. In addition, from evaluation experiments of system using obtained kansei rules, we showed that subjects could select bouquet flower images to match his/her kansei.
