A dominance-based rough set approach to Kansei Engineering in product development

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 393-402

  Zhai, Lian Yin ^a   Khoo, Li Pheng ^a   Zhong, Zhao Wei ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Affective design; Expert knowledge; Kansei Engineering; Product development; Rough sets

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; FUZZY SETS; KNOWLEDGE ENGINEERING; PRODUCT DEVELOPMENT; PROJECT MANAGEMENT; SET THEORY; UNCERTAINTY ANALYSIS;

AFFECTIVE DESIGN; EXPERT KNOWLEDGE; KANSEI ENGINEERING; ROUGH SETS;

ROUGH SET THEORY;

EID: 53849135918     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.09.041     Document Type: Article

References (25)

1. Arakawa, M., Shiraki, W., & Ishikawa, H. (1999). Kansei design using genetic algorithms. In Proceedings of 1999 IEEE international conference on systems, man, and cybernetics (pp. 284-289). Tokyo, Japan.
2. Chen C.H., Khoo L.P., and Yan W. An investigation into affective design using sorting technique and Kohonen self-organising map. Advances in Engineering Software 37 (2006) 334-349
3. Greco S., Matarazzo B., and Slowinski R. Rough approximation of preference relation by dominance relations. European Journal of Operational Research 117 (1999) 63-83
4. Greco S., Matarazzo B., and Slowinski R. Rough approximation by dominance relations. International Journal of Intelligent Systems 17 (2002) 153-171
5. Ishihara S., Ishihara K., Nagamachi M., and Matsubara Y. An automatic builder for a Kansei Engineering expert system using self-organizing neural networks. International Journal of Industrial Ergonomics 15 (1995) 13-24
6. Ishihara S., Ishihara K., Nagamachi M., and Matsubara Y. An analysis of Kansei structure on shoes using self-organizing neural network. International Journal of Industrial Ergonomics 19 (1997) 93-104
7. Jindo T., and Hirasago K. Application studies to car interior of Kansei engineering. International Journal of Industrial Ergonomics 19 (1997) 105-114
8. Kinoshita, Y., Cooper, E. W., Hoshino, Y., & Kamei, K. (2006). Kansei and colour harmony models for townscape evaluation. In Proceedings of IMechE 2006 (pp. 725-734), Vol. 220, Part I: Journal of Systems and Control Engineering.
9. Lee S., Harada A., and Stappers P.J. Design based on Kansei. In: Green W.S., and Jordan P.W. (Eds). Pleasures with products: Beyond usability (2002), Taylor & Francis, London 219-230
10. Marshall C., and Rossman G.B. Designing qualitative research. 3rd ed. (1999), Sage Publications, London
11. Nagamachi M. An image technology expert system and its application to design consultation. International Journal of Human-Computer Interaction 3 3 (1991) 267-279
12. Nagamachi M. Kansei Engineering: a new ergonomic consumer-oriented technology for product development. International Journal of Industrial Ergonomics 15 (1995) 3-11
13. Nagamachi M. Kansei engineering as a powerful consumer-oriented technology for product development. Applied Ergonomics 33 (2002) 289-294
14. Nagamachi, M., Okazaki, Y., & Ishikawa, M. (2006). Kansei engineering and application of the rough sets model. In Proceedings of IMechE 2006 (pp. 763-768), Vol. 220, Part I: Journal of Systems and Control Engineering.
15. Nishino, T., Nagamachi, M., & Ishihara, S. (2001). Rough set analysis on Kansei evaluation of colour. In Proceedings of The International Conference on Affective Human Factors Design (pp.109-115). Singapore.
16. Nishino T., Nagamachi M., and Tanaka H. Variable precision bayesian rough set model and its application to Kansei Engineering. Transactions on Rough Sets V. In: Peters J.F., and Skowron A. (Eds). LNCS Vol. 4100 (2006), Springer-Verlag, Berlin 190-206
17. Okuhara, K., Matsubara, Y., & Ueno, N. (2005). Extraction of relationship among Kansei words by expert system using rough set analysis. In Proceedings of the 2005 International Conference on Active Media Technology (pp. 461-466). Kagawa, Japan.
18. Pawlak Z. Rough sets-theoretical aspects of reasoning about data (1991), Kluwer Academic Publishers, Dordrecht
19. Petiota J.F., and Yannoub B. Measuring consumer perceptions for a better comprehension, specification and assessment of product semantics. International Journal of Industrial Ergonomics 33 (2004) 507-525
20. Schütte, S. (2005). Engineering emotional values in product design-Kansei Engineering in development. Doctoral dissertation, Linköping University, Department of Mechanical Engineering.
21. Schütte S., Eklund J., Axelsson J.R.C., and Nagamachi M. Concepts, methods and tools in Kansei Engineering. Theoretical Issues in Ergonomics Science 5 3 (2004) 214-231
22. Shimizu Y., Sadoyama T., Kamijo M., Hosoya S., Hashimoto M., Otani T., et al. On-demand production system of apparel on basis of Kansei Engineering. International Journal of Clothing Science and Technology 16 (2004) 32-42
23. Tsuchiya, T., Ishihara, S., Matsubara, Y., Nishino, T., & Nagamachi, M. (1999), A method for learning decision tree using genetic algorithm and its application to Kansei Engineering system. In Proceedings of IEEE international conference on systems, man, and cybernetics (pp. 279-283). Tokyo, Japan.
24. Tsuchiya T., Maeda T., Matsubara Y., and Nagamachi M. A fuzzy rule induction method using genetic algorithm. International Journal of Industrial Ergonomics 18 (1996) 135-145
25. Yanagisawa H., and Fukuda S. Interactive design support system by customer evaluation and genetic evolution: application to eye glass frame. KES 2003. In: Palade V., Howlett R.J., and Jain L.C. (Eds). LNAI Vol. 2774 (2003), Springer-Verlag, Berlin 481-487