Article | 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden | Comparison between Statistical and Lower / Upper Approximations Rough Sets Models for Beer Can Design and Prototype Evaluation

Title:
Comparison between Statistical and Lower / Upper Approximations Rough Sets Models for Beer Can Design and Prototype Evaluation
Author:
Ricardo Hirata Okamoto: Keisen Consultores, Clavería, Mexico City, Mexico Tatsuo Nishino: Dept. of Kansei Design, Hiroshima International University, Japan Mitsuo Nagamachi: User Science Institute, Kyushu University, Siobara, Minami-ku, Fukuoka, Japan
Download:
Year:
2007
Conference:
10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Issue:
026
Article no.:
045
No. of pages:
8
Publication type:
Full text not available
Published:
2008-02-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Rough sets theory was introduced as mathematical theory to handle uncertain or inconsistent data (Pawlak; 1998). Since it is superior in dealing with linearly inseparable data; it has been used to extract the decision rules in many application areas; and its effectiveness has been shown.

On the other hand; one of the core technologies in Kansei Engineering (KE) is to identify the relational rules between design elements of products and human evaluation data such as sense and feeling (Nagamachi; 1996). Rough set methods have been used to extract decision rules between human Kansei evaluation experimental data set and design elements (Nishino; 2001; 2003). The extracted rules would enable product designer to design the products fitted to the sense of human.

The purpose of this paper is to apply Rough Sets lower / upper approximations for the definition of decision rules for the design elements of beer cans and compare them to the results obtained through statistical analysis of same experimental data set. Data sets from 2 previous studies in Japan and Mexico were used (Hirata; 2004a; 2004b).

Keywords: Product design; Rough set theory; Consumer feeling (Kansei); package design; Kansei market segmentation

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Ricardo Hirata Okamoto, Tatsuo Nishino, Mitsuo Nagamachi
Title:
Comparison between Statistical and Lower / Upper Approximations Rough Sets Models for Beer Can Design and Prototype Evaluation
References:
No references available

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Ricardo Hirata Okamoto, Tatsuo Nishino, Mitsuo Nagamachi
Title:
Comparison between Statistical and Lower / Upper Approximations Rough Sets Models for Beer Can Design and Prototype Evaluation
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment