메뉴 건너뛰기




Volumn 26, Issue 1-2, 2008, Pages 313-323

Methods for knowledge reduction in inconsistent ordered information systems

Author keywords

Consistent set; Discernibility matrix; Knowledge reduction; Rough set

Indexed keywords


EID: 49149149621     PISSN: 15985865     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12190-007-0014-3     Document Type: Article
Times cited : (13)

References (20)
  • 1
    • 27744565978 scopus 로고
    • Rough sets
    • 1. Z. Pawlak 1982 Rough sets Int. J. Comput. Inf. Sci. 5 341 356 703291 10.1007/BF01001956 Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 5, 341–356 (1982)
    • (1982) Int. J. Comput. Inf. Sci. , vol.5 , pp. 341-356
    • Pawlak, Z.1
  • 2
    • 0035156139 scopus 로고    scopus 로고
    • Comparative studies of alternative type of knowledge reduction in inconsistent systems
    • 2. M. Kryszkiewicz 2001 Comparative studies of alternative type of knowledge reduction in inconsistent systems Int. J. Intell. Syst. 16 105 120 0969.68146 10.1002/1098-111X(200101)16:1<105::AID-INT8>3.0.CO;2-S Kryszkiewicz, M.: Comparative studies of alternative type of knowledge reduction in inconsistent systems. Int. J. Intell. Syst. 16, 105–120 (2001)
    • (2001) Int. J. Intell. Syst. , vol.16 , pp. 105-120
    • Kryszkiewicz, M.1
  • 3
    • 16244396746 scopus 로고    scopus 로고
    • Knowledge acquisition in incomplete information systems: a rough set approach
    • 3. Y. Leuang W.Z. Wu W.X. Zhang 2006 Knowledge acquisition in incomplete information systems: a rough set approach Eur. J. Oper. Res. 1 164 180 10.1016/j.ejor.2004.03.032 Leuang, Y., Wu, W.Z., Zhang, W.X.: Knowledge acquisition in incomplete information systems: a rough set approach. Eur. J. Oper. Res. 1, 164–180 (2006)
    • (2006) Eur. J. Oper. Res. , vol.1 , pp. 164-180
    • Leuang, Y.1    Wu, W.Z.2    Zhang, W.X.3
  • 4
    • 0003397496 scopus 로고
    • Rough Sets: Theoretical Aspects of Reasoning About Data
    • 4. Z. Pawlak 1991 Rough Sets: Theoretical Aspects of Reasoning About Data Kluwer Academic Boston 0758.68054 Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic, Boston (1991)
    • (1991)
    • Pawlak, Z.1
  • 5
    • 0004254990 scopus 로고    scopus 로고
    • Theory and Method of Rough sets
    • 5. W.X. Zhang W.Z. Wu J.Y. Liang D.Y. Li 2001 Theory and Method of Rough sets Science Beijing Zhang, W.X., Wu, W.Z., Liang, J.Y., Li, D.Y.: Theory and Method of Rough sets. Science, Beijing (2001)
    • (2001)
    • Zhang, W.X.1    Wu, W.Z.2    Liang, J.Y.3    Li, D.Y.4
  • 6
    • 19044390948 scopus 로고    scopus 로고
    • On characterizations of (I,T)-fuzzy rough approximation operators
    • 6. W.Z. Wu Y. Leuang J.S. Mi 2005 On characterizations of (I,T)-fuzzy rough approximation operators Fuzzy Sets Syst. 1 76 102 10.1016/j.fss.2005.02.011 Wu, W.Z., Leuang, Y., Mi, J.S.: On characterizations of (I,T)-fuzzy rough approximation operators. Fuzzy Sets Syst. 1, 76–102 (2005)
    • (2005) Fuzzy Sets Syst. , vol.1 , pp. 76-102
    • Wu, W.Z.1    Leuang, Y.2    Mi, J.S.3
  • 7
    • 21244455292 scopus 로고    scopus 로고
    • Knowledge reduction in random information systems via Dempster–Shafer theory of evidence
    • 7. W.Z. Wu M. Zhang H.Z. Li J.S. Mi 2005 Knowledge reduction in random information systems via Dempster–Shafer theory of evidence J. Inf. Sci. 3–4 143 164 10.1016/j.ins.2004.09.002 2158808 Wu, W.Z., Zhang, M., Li, H.Z., Mi, J.S.: Knowledge reduction in random information systems via Dempster–Shafer theory of evidence. J. Inf. Sci. 3–4, 143–164 (2005)
    • (2005) J. Inf. Sci. , vol.3–4 , pp. 143-164
    • Wu, W.Z.1    Zhang, M.2    Li, H.Z.3    Mi, J.S.4
  • 8
    • 0242352585 scopus 로고    scopus 로고
    • A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory
    • 8. M. Zhang L.D. Xu W.X. Zhang H.Z. Li 2003 A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory Expert Syst. 5 298 304 10.1111/1468-0394.00254 Zhang, M., Xu, L.D., Zhang, W.X., Li, H.Z.: A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory. Expert Syst. 5, 298–304 (2003)
    • (2003) Expert Syst. , vol.5 , pp. 298-304
    • Zhang, M.1    Xu, L.D.2    Zhang, W.X.3    Li, H.Z.4
  • 9
    • 85121084679 scopus 로고    scopus 로고
    • 9. Greco, S., Matarazzo, B., Slowingski, R.: Rough approximation of a preference relation by dominance relation. ICS Research Report 16 / 96, Warsaw University of Technology (1996) and in Eur. J. Oper. Res. 177, 63–83 (1999)
  • 10
    • 85121076027 scopus 로고    scopus 로고
    • 10. S. Greco B. Matarazzo R. Slowingski 1998 A new rough set approach to multicriteria and multiattribute classification L. Polkowsik A. Skowron Rough Sets and Current Trends in Computing (RSCTC’98) Lecture Notes in Artificial Intelligence 1424 Springer Berlin 60 67 10.1007/3-540-69115-4_9 Greco, S., Matarazzo, B., Slowingski, R.: A new rough set approach to multicriteria and multiattribute classification. In: Polkowsik, L., Skowron, A. (eds.) Rough Sets and Current Trends in Computing (RSCTC’98). Lecture Notes in Artificial Intelligence, vol. 1424, pp. 60–67. Springer, Berlin (1998)
  • 11
    • 85121082412 scopus 로고    scopus 로고
    • 11. S. Greco B. Matarazzo R. Slowingski 1999 A new rough sets approach to evaluation of bankruptcy risk X. Zopounidis Operational Tools in The Management of Financial Risks Kluwer Dordrecht 121 136 Greco, S., Matarazzo, B., Slowingski, R.: A new rough sets approach to evaluation of bankruptcy risk. In: Zopounidis, X. (ed.) Operational Tools in The Management of Financial Risks, pp. 121–136. Kluwer, Dordrecht (1999)
  • 12
    • 0035254283 scopus 로고    scopus 로고
    • Rough sets theory for multicriteria decision analysis
    • 12. S. Greco B. Matarazzo R. Slowingski 2001 Rough sets theory for multicriteria decision analysis Eur. J. Oper. Res. 129 11 47 10.1016/S0377-2217(00)00167-3 Greco, S., Matarazzo, B., Slowingski, R.: Rough sets theory for multicriteria decision analysis. Eur. J. Oper. Res. 129, 11–47 (2001)
    • (2001) Eur. J. Oper. Res. , vol.129 , pp. 11-47
    • Greco, S.1    Matarazzo, B.2    Slowingski, R.3
  • 13
    • 0037117684 scopus 로고    scopus 로고
    • Rough sets methodology for sorting problems in presence of multiple attributes and criteria
    • 13. S. Greco B. Matarazzo R. Slowingski 2002 Rough sets methodology for sorting problems in presence of multiple attributes and criteria Eur. J. Oper. Res. 138 247 259 1008.90509 10.1016/S0377-2217(01)00244-2 Greco, S., Matarazzo, B., Slowingski, R.: Rough sets methodology for sorting problems in presence of multiple attributes and criteria. Eur. J. Oper. Res. 138, 247–259 (2002)
    • (2002) Eur. J. Oper. Res. , vol.138 , pp. 247-259
    • Greco, S.1    Matarazzo, B.2    Slowingski, R.3
  • 14
    • 85121089018 scopus 로고    scopus 로고
    • 14. Dembczynski, K., Pindur, R., Susmaga, R.: Generation of exhaustive set of rules within dominance-based rough set approach. Electron. Notes Theory Comput. Sci. 82 (4) (2003)
  • 15
    • 85121063143 scopus 로고    scopus 로고
    • 15. Dembczynski, K., Pindur, R., Susmaga, R.: Dominance-based rough set classifier without induction of decision rules. Electron. Notes Theory Comput. Sci. 82 (4) (2003)
  • 16
    • 85121076771 scopus 로고    scopus 로고
    • 16. Y. Sai Y.Y. Yao N. Zhong 2001 Data analysis and mining in ordered information tables Proc. 2001 IEEE Int. Conf. on Data Mining IEEE Computer Society Los Alamitos 497 504 Sai, Y., Yao, Y.Y., Zhong, N.: Data analysis and mining in ordered information tables. In: Proc. 2001 IEEE Int. Conf. on Data Mining, pp. 497–504. IEEE Computer Society, Los Alamitos (2001)
  • 17
    • 11844277703 scopus 로고    scopus 로고
    • Dominance relation and relus in an incomplete ordered information system
    • 17. M.W. Shao W.X. Zhang 2005 Dominance relation and relus in an incomplete ordered information system Int. J. Intell. Syst. 20 13 27 1089.68128 10.1002/int.20051 Shao, M.W., Zhang, W.X.: Dominance relation and relus in an incomplete ordered information system. Int. J. Intell. Syst. 20, 13–27 (2005)
    • (2005) Int. J. Intell. Syst. , vol.20 , pp. 13-27
    • Shao, M.W.1    Zhang, W.X.2
  • 18
    • 0032180332 scopus 로고    scopus 로고
    • Rough computational methods for information systems
    • 18. J. Guan D. Bell 1998 Rough computational methods for information systems Artif. Intell. 105 77 103 0909.68047 10.1016/S0004-3702(98)00090-3 Guan, J., Bell, D.: Rough computational methods for information systems. Artif. Intell. 105, 77–103 (1998)
    • (1998) Artif. Intell. , vol.105 , pp. 77-103
    • Guan, J.1    Bell, D.2
  • 19
    • 84867997230 scopus 로고    scopus 로고
    • Variational and quasi variational inequalities
    • 19. C. Belly 1999 Variational and quasi variational inequalities J. Appl. Math. Comput. 6 234 266 Belly, C.: Variational and quasi variational inequalities. J. Appl. Math. Comput. 6, 234–266 (1999)
    • (1999) J. Appl. Math. Comput. , vol.6 , pp. 234-266
    • Belly, C.1
  • 20
    • 84868002488 scopus 로고    scopus 로고
    • The generalized quasi variational inequality problems
    • 20. D. Pang 2002 The generalized quasi variational inequality problems J. Appl. Math. Comput. 8 123 245 Pang, D.: The generalized quasi variational inequality problems. J. Appl. Math. Comput. 8, 123–245 (2002)
    • (2002) J. Appl. Math. Comput. , vol.8 , pp. 123-245
    • Pang, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.