Employing rough sets and association rule mining in KANSEI knowledge extraction

Information Sciences

Volumn 196, Issue , 2012, Pages 118-128

  Shi, Fuqian ^a   Sun, Shouqian ^b   Xu, Jiang ^c  

^a WENZHOU MEDICAL UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c SOUTHEAST UNIVERSITY   (China)

Author keywords

Association rule mining; KANSEI Engineering; Reduction algorithm; Rough sets theory

Indexed keywords

ATTRIBUTE REDUCTION ALGORITHM; CONDITION ATTRIBUTES; DATA MINING METHODS; KANSEI ENGINEERING; KNOWLEDGE EXTRACTION; QUESTIONNAIRE SYSTEMS; REDUCTION ALGORITHMS; SEMANTIC DIFFERENTIAL;

DATA MINING; DECISION TABLES; PROFESSIONAL ASPECTS;

ROUGH SET THEORY;

EID: 84863000160     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.02.006     Document Type: Article

References (35)

1. R. Agrawal, T. Imielinski, and A. Swami Mining association rules between sets of items in large databases P. Buneman, S. Jajodia, Proc. 1993 ACM SIGMOD Int. Conf. Management of Data 1993 ACM Press Washington, DC
2. N. Bianchi-Berthouze, KANSEI-mining: identifying visual impressions as patterns in images, in: Proc. Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf., 2001.
3. K. Cheng Research on the Button Interfaces and Form Constituting Elements of Thin Screen TVs 2005 Tatung University Press Taipei
4. M.C. Chuang, C.C. Chang, and S.H. Hsu Perceptual factors underlying user preferences toward product form of mobile phone Int. J. Ind. Ergonom. 27 2 2001 247 258
5. W. Groissboeck, E. Lughofer, and S. Thumfart Associating visual textures with human perceptions using genetic algorithms Inform. Sci. 180 11 2010 2065 2084
6. J. Han, and M. Kamber Data Mining Concepts and Techniques 2001 China Machine Press China
7. T. Hayashi, and A. Sato A hierarchical model to support KANSEI mining process Proceedings of 3rd International Conference on Intelligent Data Engineering and Automated Learning 2002 Springer Berlin
8. S.H. Hsu, and M.C. Chuang A semantic differential study of designers' and users' product form perception Int. J. Ind. Ergonom. 25 2000 375 391
9. T. Huang, and C. Chang The role of data mining in the product design and development process Y. Pan, Z. Lin, S. Sun, Proceedings of 2006 International Conference on Computer Aided Industrial Design & Concept Design CAID & CD06 2006 World Publishing Corporation Beijing, China
10. J. Jiao, Y. Zhang, and M. Helander A KANSEI mining system for affective design Exp. Syst. Appl. 30 4 2005 658 673
11. H.M. Khalid, and M.G. Helander A framework for affective customer needs in product design Theoret. Issues Ergonom. Sci. 5 1 2004 27 42
12. K. Kuroda, and M. Hagiwara An image retrieval system by impression words and specific object names-IRIS Neurocomputing 43 1 2002 259 276
13. R. Lin, C.Y. Lin, and Joan Wong An application of multidimensional scaling in product semantics Int. J. Ind. Ergonom. 18 2 1996 193 204
14. T. Murai, Y. Kudo, and Y. Sato Association rules and Dempster-Shafer theory of evidence Lecture Notes in Artificial Intelligence vol. 2843 2003 Springer-Verlag Berlin
15. M. Nagamachi KANSEI Engineering: a new ergonomics consumer-oriented technology for product development Int. J. Ind. Des. 15 1 1995 3 11
16. M. Nagamachi KANSEI Engineering and comfort Int. J. Ind. Ergonom. 19 2 1997 79 80
17. M. Nagamachi KANSEI Engineering as a powerful consumer-oriented technology for product development Appl. Ergonom. 33 3 2002 289 294
18. M. Nagamachi KANSEI Engineering and rough sets model RSCTC Lecture Notes in Artificial Intelligence vol. 4259 2006 Springer-Verlag Berlin
19. T. Nishino, M. Nagamachi, and H. Tanaka Variable precision Bayesian rough set model and its application to human evaluation data RSFDGrC Lecture Notes in Artificial Intelligence vol. 3641 2005 Springer-Verlag Berlin
20. K. Okuhara, M. Yukihiro, U. Nobuyuki, Extraction of relationship among KANSEI words by expert system using rough set analysis, in: Proceedings of 2005 International Conference on Active Media Technology, 2005.
21. C. Osgood, G. Suci, and P.H. Tannenbaum The Measurement of Meaning 1957 University of Illinois Press Urbana, USA
22. P. Pattaraintakorn, N. Cercone, and K. Naruedomkul Rule learning: ordinal prediction based on rough sets and soft-computing Appl. Math. Lett 19 12 2006 1300 1307
23. Z. Pawlak Rough sets Int. J. Comput. Inform. Sci 11 1982 341 356
24. Z. Pawlak, and S. Andrzej Rough sets and Boolean reasoning Inform. Sci. 177 1 2007 41 73
25. G. Piatetsky-Shapiro Discovery, analysis, and presentation of strong rules G. Piatetsky-Shapiro, W.J. Frawley, Knowledge Discovery in Databases 1997 AAAI/MIT Press Cambridge, MA
26. R.W. Picard Affective Computing 1997 MIT Press Cambridge, MA
27. S. Schütte, J. Eklund, J.R. C Axelsson, and M. Nagamachi Concepts, method and tools in KANSEI Engineering Theoret. Issues Ergonom. Sci. 5 3 2004 214 231
28. F. Shi, J. Xu, and S. Sun Fuzzy case-based reasoning in product style acquisition incorporating valence-arousal based emotional cellular model J. Appl. Math., V 2011 2011 17 Article ID 385079
29. F. Shi, and J. Xu Emotional cellular-based multi-class fuzzy support vector machines on products KANSEI Extraction Appl. Math. Inf. Sci. 6 1 2012 41 49
30. J. Shyng, F. Wang, G. Tzeng, and K. Wu Rough set theory in analyzing the attributes of combination values for the insurance market Exp. Syst. Appl. 32 1 2007 56 64
31. R. Srikant, R. Agrawal, Mining quantitative association rules in large relational tables, in: Proceedings of ACM SIGMOD International Conference on Management Data, Montreal Canada, 1996.
32. J. Xu, S. Sun, Z. Tang, F. Shi, An interactive evolutionary design system with feature extraction, in: J. Jacko (Ed.), Human-Computer Interaction, Part IV, HCII 2007, Lecture Note in Computer Science, vol. 4553, 2007.
33. H.B. Yan, V.N. Huynh, T. Murai, and Y. Nakamori Kansei evaluation based on prioritized multi-attribute fuzzy target-oriented decision analysis Inform. Sci. 178 21 2008 4080 4093
34. S. Yang, M. Nagamachi, and S. Lee Rule-based inference model for the KANSEI Engineering system Int. J. Ind. Ergonom. 24 5 1999 459 471
35. L.Y. Zhai, L.P. Khoo, and Z.W. Zhong A dominance-based rough set approach to KANSEI Engineering in product development Exp. Syst. Appl. 36 1 2009 393 402