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Authors:Tatsuo Nishino: Dept. of Kansei Design, Hiroshima International University, Japan
Mitsuo Nagamachi: User Science Research Institute, Kyushu University, Japan
Hiroyasu Okuo: Product Development Division, Zebra Ltd.Com, Japan
Takashi Itami: Product Development Division, Zebra Ltd.Com, Japan
Publication title:Rough Set Model and its Application to Kansei Engineering
Conference:10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Publication type: Full text not available
Issue:026
Article No.:022
Abstract:Human percepts the interactions or “Gestalt” as well as each element of object; and then recognizes or feels it. The processes are entirely ambiguous in the meaning of individual differences in recognition and feeling. The interactions and ambiguity are also pervasive features of kansei. If we can handle the features adequately in kansei engineering methodology; we will obtain more significant information on the interactive relations between customer wants and kansei words; product design attributes and kansei; and so on.

In this respect; rough set theory provides a useful approach to kansei engineering methodology which approximates ambiguous concept and then identifies the interactive relations between elements in the processes in the form of IF-THEN decision rules. We identified the kansei as indefinable rough set in the framework of rough set theory and proposed a rough set model which represents probabilistically the kansei or human evaluation data with much ambiguity; and derives decision rules of causes and effect relation in the processes (Nishino; 2005a). Moreover; we found that the proposed rough set model is useful in application to kansei product designs (Nishino; Nagamachi and Sakawa; 2006b). The purpose of the paper is to propose an extended rough set model for extracting.

Decision rules from combined kansei evaluation data and an application method of the model to strategically extract design attributes matched with customer kansei; and more we applied our method to ball pen design. Proposed application method identified the direction of customer wants in principal component space; development concepts; and design specifications using the rough set model.

Language:English
Keywords:Rough set model; Kansei Engineering; Multilevel strategic extraction of decision rule; A ball pen design; Upper-upper approximation of kansei
Year:2007
No. of pages:8
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:
Available:2008-02-15
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Tatsuo Nishino, Mitsuo Nagamachi, Hiroyasu Okuo, Takashi Itami (2007). Rough Set Model and its Application to Kansei Engineering, 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden http://www.ep.liu.se/ecp_article/index.en.aspx?issue=026;article=022 (accessed 11/26/2014)