Variable precision Bayesian rough set model and its application to Kansei Engineering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4100 LNCS, Issue , 2006, Pages 190-206

  Nishino, Tatsuo ^a   Nagamachi, Mitsuo ^a   Tanaka, Hideo ^a  

^a HIROSHIMA INTERNATIONAL UNIVERSITY   (Japan)

Author keywords

Ambiguity; Extraction of decision rules; Human evaluation data; Kansei Engineering; Rough sets; Variable precision Bayesian rough set model

Indexed keywords

APPROXIMATION THEORY; COMPUTER SOFTWARE; DECISION THEORY; MATHEMATICAL MODELS;

HUMAN EVALUATION DATA; KANSEI ENGINEERING; VARIABLE PRECISION BAYESIAN ROUGH SET MODEL;

ROUGH SET THEORY;

EID: 38549161021     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11847465_9     Document Type: Conference Paper

References (26)

1. Greco, S., Matarazzo, B., Pappalardo, N. Slowinski, R.: Measuring Expected Effects of Interventions based on Decision Rules, Journal of Experimental & Theoretical Artificial Intelligence, 17 No. 1-2, Taylor & Francis (2005), 103-118.
2. Greco, S., Matarazzo, B., Pappalardo, N. Slowinski, R.: Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets, RSFDGrC 2005, LNAI 3641, Springer Verlag (2005), 314-324.
3. Hastie, T., Tibshirani, R. and Friedman, J.: The Elements of Statistical Learning, Springer Verlag (2001), 440-447.
4. Mori, N., Tanaka, H., Inoue, K. (Eds.): Rough Sets and Kansei, Kaibundo Publishing (2004).
5. Nagamachi, M.: Kansei Engineering, Kaibundo Publishing, Tokyo (1989).
6. Nagamachi, M.: Kansei engineering in consumer product design, Ergonomics in Design, (2002).
7. Nagamachi, M.(Eds.): Product Development and Kansei, Kaibundo Publishing, Tokyo (2005).
8. Nishino, T., Nagamachi, M.and Ishihara, S.: Rough Set Analysis on Kansei Evaluation of Color and Kansei Structure, Proceedings of Quality Management and Organization Development Conf., (2001), 543-550.
9. Nishino, T., Nagamachi, M.and Ishihara, S.: Rough Set Analysis on Kansei Evaluation of Color, Proceedings of The Int. Conf. on Affective Human Factors Design, (2001), 109-115.
10. Nishino, T.and Nagamachi, M.: Extraction of Design Rules for Basic Product Designing Using Rough Set Analysis, Proceedings of 14-th Triennial Congress of the International Ergonomics Association, (2003), 515-518.
11. Nishino, T., Nagamachi, M.and Tanaka, H.: Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data, RSFDGrC 2005, LNAI 3641, Springer Verlag (2005), 294-303.
12. Nishino, T., Sakawa, M., Kato, K., Nagamachi, M.and Tanak, H.: Probabilistic Rough Set Model and Its Application to Kansei Engineering, Asia Pacific Management Review, (2005), in press.
13. Nishino, T., Nagamachi, M., Sakawa,M.: Acquisition of Kansei Decision Rules of Coffee Flavor Using Rough Set Method, International Journal of Kansei Engineering, (2005), in press.
14. Pawlak, Z.: Rough Sets Elements, In: L. Polkowski, A. Skowron(Eds.), Rough Sets in Knowledge Discovery 1, Physica- Verlag (1998), 10-30.
15. Pawlak, Z.: Decision rules, Bayes' rule and Rough Sets, RSFDGrC 1999, LNAI 1711, Springer Verlag (1999), 1-9.
16. Pawlak, Z.: Rough Sets and Decision Algorithms, RSCT 2000, LNAI 2005, Springer Verlag (2000), 30-45.
17. Ślȩzak, D. and Ziarko, W.: Variable Precision Bayesian Rough Set Model, RSFD-GrC 2003, LNAI 2639, Springer Verlag (2003), 312-315.
18. Ślȩzak, D.: The Rough Bayesian Model for Distributed Decision Systems, RSCT 2004, LNAI 3066, Springer Verlag (2004), 384-393.
19. Ślȩzak, D.: Rough Sets and Bayes factors, Transactions on Rough Set III, LNCS 3400, (2005), 202-229.
20. Ślȩzak, D. and Ziarko, W.: The Investigation of the Bayesian Rough Set Model, International Journal of Approximate Reasoning Elsevier(2005), vol.40,2005,81-91.
21. Tsumoto, S.: Discovery of Rules about Complication, RSFDGrC 1999, LNAI 1711, Springer Verlag (1999), 29-37.
22. Stepaniuk, J.: Knowledge Discovery by Application of Rough Set Models, In: L. Polkowski, S. Tsumoto and T.Y. Lin (Eds.), Rough Set Methods and Applications, Physica-Verlag (2000), 137-233.
23. Ziarko, W.: Variable Precision Rough Set Model, Journal of Computer and System Sciences, 46 (1993) 39-59.
24. Ziarko, W.: Evaluation of Probabilistic Decision Table, RSFDGrC 2003, LNAI 2639, Springer Verlag (2003), 189-196.
25. Ziarko,W. and Xiao,X.: Computing minimal probabilistic rules from probabilistic rules from probabilistic decision tables: decision matrix approach Proc. of the Atlantic Web Intelligence Conference, Cancun, Mexico, LNAI 3034, Springer Verlag(2004), 84-94.
26. Ziarko, W.: Probabilistic Rough Sets, RSFDGrC 2005, LNAI 3641, Springer Verlag (2005), 283-293.