A unified approach to reducts in dominance-based rough set approach

Soft Computing

Volumn 14, Issue 5, 2010, Pages 507-515

  Kusunoki, Yoshifumi ^a   Inuiguchi, Masahiro ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Attribute reduction; Discernibility matrix; Dominance based rough set approach; Rough sets

Indexed keywords

ATTRIBUTE REDUCTION; DATA SETS; DISCERNIBILITY; DISCERNIBILITY MATRIX; DOMINANCE-BASED ROUGH SET APPROACH; NEW APPROACHES; REDUCTS; ROUGH SET; UNIFIED APPROACH;

ROUGH SET THEORY;

EID: 77952888335     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-009-0450-0     Document Type: Article

References (15)

1. Dembczyński K, Greco S, Kotłowski W, Słowiński R (2006) Quality of rough approximation in multi-criteria classification problems. In: Greco S et al (eds) RSCTC 2006, LNCS (LNAI), vol 4259. Springer, Heidelberg, pp 318-327.
2. Greco S, Matarazzo B, Slowinski R (2001) Rough set theory for multicriteria decision analysis. Eur J Oper Res 129(1): 1-47.
3. Greco S, Matarazzo B, Słowiński R (2005) Decision rule approach. In: Figueria J, Greco S, Ehrgott M (eds) Multiple criteria decision analysis. Springer, New York, pp 507-561.
4. Greco S, Hata Y, Hirano S, Inuiguchi M, Miyamoto S, Nguyen HS, Słowiński R (2006) RSCTC 2006, LNCS (LNAI) vol. 4259. Springer, Heidelberg.
5. Inuiguchi M, Tsurumi M (2006) Measures based on upper approximations of rough sets for analysis of attribute importance and interaction. Int J Innov Comput Inf Control 2(1): 1-12.
6. Inuiguchi M, Yoshioka Y (2008) Several reducts in dominance-based rough set approach. In: Huynh VN et al (eds) Interval/probabilistic uncertainty and non-classical logics, ASC vol 46. Springer, Heidelberg, pp 163-175.
7. Kryszkiewicz M (2001) Comparative study of alternative types of knowledge reduction in inconsistent systems. Int J Intell Syst 16: 105-120.
8. Pawlak Z (1982) Rough sets. Int J Inf Comput Sci 11(5): 341-356.
9. Pawlak Z, Słowiński R (1994) Rough set approach to multi-attribute decision analysis. Eur J Oper Res 72: 443-459.
10. Polkowski L, Skowron A (1998) Rough sets in knowledge discovery, vol 2, Applications, case studies and software systems. Physica-Verlag, Heidelberg.
11. Shao MW, Zhang WX (2005) Dominance relation and rules in an incomplete ordered information system. Int J Intell syst 20: 13-27.
12. Śle{ogonek}zak D (2000) Various approaches to reasoning with frequency based decision reducts: a survey. In: Polkowski L, Tsumoto S, Lin TY (eds) Rough set methods and applications. Physica-Verlag, Heidelberg, pp. 235-285.
13. Słowiński R (1992) Intelligent decision support. Kluwer, Dordrecht.
14. Susmaga R, Słowiński R, Greco S, Matarazzo B (2000) Generation of reducts and rules in multi-attribute and multi-criteria classification. Control Cybern 29(4): 969-988.
15. Yang X, Yang J, Wu C, Yu D (2008) Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. Inf Sci 178(4): 1219-1234.