定性評価のための選好度セットベース設計手法の自動車ECデータへの事例適用

抄録

The preference set-based design method (PSD method) allows for product designs that reflect the designer's intentions by defining preferences within the ranges of quantitative data design variables (dimensions and angular frequency) and required performance (stress and weight). However, in designs that take into account perceived quality, which has become important in recent product design, qualitative data design variables (materials and color) and required performance (customer satisfaction) are often used. In this study, we propose a PSD method that can be applied to both qualitative and quantitative data using rough set theory, which handles qualitative data, and suggest its applicability by applying it to a case study of automobile EC data.