@article{oai:nagaoka-id.repo.nii.ac.jp:00000050,
 author = {洪, 起 and 福田, 毅 and 金, 夆洙 and 梁, 根榮 and Koh, Ki and Fukuda, Tsuyoshi and Kim, Bongsu and Yang, Keunyoung},
 journal = {長岡造形大学研究紀要, Nagaoka Institute of Design Bulletin},
 month = {Mar},
 note = {application/pdf, The cluster analysis has been applied as a practical method to classify similarities of various designs, including package design, where the distance among the two coordinates evaluated numerically, from the image level of design factors, provides the criterion to classify the similarity. The coordinates have definite values. However, from the view-point of Kansei Engineering, it is more rational to define it on fuzzy logic on account of the fuzziness implicated in the image level of design factors. This paper proposes a new approach to classify the similarity of design, using the coordinates expressed with the expectation and standard deviation of the image level of design factors obtained from fuzzy logic.},
 pages = {38--43},
 title = {デザインの類似性の分類法に関する感性工学的アプローチ},
 volume = {4},
 year = {2007},
 yomi = {コウ, キ and フクダ, ツヨシ and キム, ボンス and ヤン, ケンヨン}
}