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Volumn 20, Issue 1, 2005, Pages 13-27

Dominance relation and rules in an incomplete ordered information system

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DECISION THEORY; INFORMATION ANALYSIS; MATHEMATICAL MODELS; SET THEORY; THEOREM PROVING;

EID: 11844277703     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20051     Document Type: Article
Times cited : (185)

References (25)
  • 2
    • 0032188308 scopus 로고    scopus 로고
    • Rough sets theory and its application to data analysis
    • Pawlak Z. Rough sets theory and its application to data analysis. Cybern Syst 1998; 29:661-688.
    • (1998) Cybern Syst , vol.29 , pp. 661-688
    • Pawlak, Z.1
  • 3
    • 0030415076 scopus 로고    scopus 로고
    • Discovering rules for water demand prediction: An enhanced rough-set approach
    • An A, Shan N, Chan C, Cereone N, Ziarko W. Discovering rules for water demand prediction: An enhanced rough-set approach. Eng Appl Artif Intell 1996;6:645-653.
    • (1996) Eng Appl Artif Intell , vol.6 , pp. 645-653
    • An, A.1    Shan, N.2    Chan, C.3    Cereone, N.4    Ziarko, W.5
  • 4
    • 0030219662 scopus 로고    scopus 로고
    • Rough-set reasoning about uncertain date
    • Slowinski R, Stefanowski J. Rough-set reasoning about uncertain date. Fund Inform 1996;27:229-244.
    • (1996) Fund Inform , vol.27 , pp. 229-244
    • Slowinski, R.1    Stefanowski, J.2
  • 5
    • 0008917399 scopus 로고
    • A synthesis of decision rules: Applications of discernibility matrix
    • Augustow, Poland
    • Skowron A. A synthesis of decision rules: Applications of discernibility matrix. In: Proc Int Conf on Intelligent Information Systems, Augustow, Poland; 1993. pp 30-46.
    • (1993) Proc Int Conf on Intelligent Information Systems , pp. 30-46
    • Skowron, A.1
  • 6
    • 84947730794 scopus 로고    scopus 로고
    • Rule discovery in database with missing values based on rough set model
    • Zhong N, Zhou L, editors Beijing, China: Springer
    • Shusaku T. Rule discovery in database with missing values based on rough set model. In: Zhong N, Zhou L, editors. Methodologies for knowledge discovery and data mining. Beijing, China: Springer; 1999. pp 274-278.
    • (1999) Methodologies for Knowledge Discovery and Data Mining , pp. 274-278
    • Shusaku, T.1
  • 8
    • 0003563964 scopus 로고    scopus 로고
    • Rough sets in knowledge discovery 1,2
    • Wurzburg: Physica-Verlag
    • Polkowski L, Skowron A, editors. Rough sets in knowledge discovery 1,2. Methodology and applications. Wurzburg: Physica-Verlag; 1998.
    • (1998) Methodology and Applications
    • Polkowski, L.1    Skowron, A.2
  • 9
    • 0344339135 scopus 로고    scopus 로고
    • Rough approximation of a preference relation by dominance relations
    • Warsaw: Warsaw University of Technology
    • Greco S, Matarazzo B, Slowinski R. Rough approximation of a preference relation by dominance relations. ICS Research Report 16/96, Warsaw: Warsaw University of Technology; 1996 and in Eur J Oper Res 1999; 117:63-83.
    • (1996) ICS Research Report , vol.16 , Issue.96
    • Greco, S.1    Matarazzo, B.2    Slowinski, R.3
  • 10
    • 0344339135 scopus 로고    scopus 로고
    • Greco S, Matarazzo B, Slowinski R. Rough approximation of a preference relation by dominance relations. ICS Research Report 16/96, Warsaw: Warsaw University of Technology; 1996 and in Eur J Oper Res 1999; 117:63-83.
    • (1999) Eur J Oper Res , vol.117 , pp. 63-83
  • 11
    • 84947804876 scopus 로고    scopus 로고
    • A new rough set approach to multicriteria and multi-attribute classification
    • Polkowski L, Skowron A, editors. Rough sets and current trends in computing (RSTCTC '98), Berlin: Springer-Verlag
    • Greco S, Matarazzo B, Slowinski R. A new rough set approach to multicriteria and multi-attribute classification. In: Polkowski L, Skowron A, editors. Rough sets and current trends in computing (RSTCTC '98), Lecture Notes in Artificial Intelligence, vol 1424. Berlin: Springer-Verlag; 1998. pp 60-67.
    • (1998) Lecture Notes in Artificial Intelligence , vol.1424 , pp. 60-67
    • Greco, S.1    Matarazzo, B.2    Slowinski, R.3
  • 13
    • 0035254283 scopus 로고    scopus 로고
    • Rough sets theory for multicriteria decision analysis
    • Greco S, Matarazzo B, Slowinski R. Rough sets theory for multicriteria decision analysis. Eur J Oper Res 2001;129:11-47.
    • (2001) Eur J Oper Res , vol.129 , pp. 11-47
    • Greco, S.1    Matarazzo, B.2    Slowinski, R.3
  • 14
    • 0037117684 scopus 로고    scopus 로고
    • Rough sets methodology for sorting problems in presence of multiple attributes and criteria
    • Greco S, Matarazzo B. Slowinski R. Rough sets methodology for sorting problems in presence of multiple attributes and criteria. Eur J Oper Res 2002; 138:247-259.
    • (2002) Eur J Oper Res , vol.138 , pp. 247-259
    • Greco, S.1    Matarazzo, B.2    Slowinski, R.3
  • 16
    • 11844286661 scopus 로고    scopus 로고
    • Generation of exhaustive set of rules within dominance-based rough set approach
    • Dembczynski K, Pindur R, Susmaga R. Generation of exhaustive set of rules within dominance-based rough set approach. Electron. Notes Theor Comput Sci 2003;82(4).
    • (2003) Electron. Notes Theor Comput Sci , vol.82 , Issue.4
    • Dembczynski, K.1    Pindur, R.2    Susmaga, R.3
  • 18
    • 77649340327 scopus 로고    scopus 로고
    • Data analysis and mining in ordered information tables
    • IEEE Computer Society Press
    • Sai Y, Yao YY, Zhong N. Data analysis and mining in ordered information tables. Proc 2001 IEEE Int Conf on Data Mining. IEEE Computer Society Press; 2001. pp 497-504.
    • (2001) Proc 2001 IEEE Int Conf on Data Mining , pp. 497-504
    • Sai, Y.1    Yao, Y.Y.2    Zhong, N.3
  • 19
    • 0032294902 scopus 로고    scopus 로고
    • Rough set approach to incomplete information systems
    • Kryszkiewicz M. Rough set approach to incomplete information systems. Inform Sci 1998; 112:39-49.
    • (1998) Inform Sci , vol.112 , pp. 39-49
    • Kryszkiewicz, M.1
  • 20
    • 0033079944 scopus 로고    scopus 로고
    • Rules in incomplete information systems
    • Kryszkiewicz M. Rules in incomplete information systems. Inform Sci 1999;113:271-292.
    • (1999) Inform Sci , vol.113 , pp. 271-292
    • Kryszkiewicz, M.1
  • 21
    • 0033719032 scopus 로고    scopus 로고
    • A generalized definition of rough approximations based on similarity
    • Roman S, Vanderpooten D. A generalized definition of rough approximations based on similarity, IEEE Trans Knowl Data Eng 2000; 12:331-336.
    • (2000) IEEE Trans Knowl Data Eng , vol.12 , pp. 331-336
    • Roman, S.1    Vanderpooten, D.2
  • 22
    • 0030283822 scopus 로고    scopus 로고
    • A rough logic based on incomplete information and its application
    • Akira N. A rough logic based on incomplete information and its application. Int J Approx Reason 1996:15:367-378.
    • (1996) Int J Approx Reason , vol.15 , pp. 367-378
    • Akira, N.1
  • 23
    • 84958044111 scopus 로고    scopus 로고
    • Handing missing values in rough set analysis of muti-attribute and muti-criteria decision problems
    • Zhong N, Skowron A, Ohsuga S, editors. New directions in rough sets, data mining and granular-soft computing Berlin: Springer-Verlag
    • Greco S, Matarazzo B, Slowinski R. Handing missing values in rough set analysis of muti-attribute and muti-criteria decision problems. In: Zhong N, Skowron A, Ohsuga S, editors. New directions in rough sets, data mining and granular-soft computing. Lecture Notes in Artificial Intelligence, vol. 1711. Berlin: Springer-Verlag; 1999. pp 146-157.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1711 , pp. 146-157
    • Greco, S.1    Matarazzo, B.2    Slowinski, R.3
  • 24
    • 0008917399 scopus 로고
    • A synthesis of decision rules: Applications of discernibility matrix
    • Augustow, Poland
    • Skowron A. A synthesis of decision rules: Applications of discernibility matrix. In: Proc Int Conf on Intelligence Information Systems, Augustow, Poland; 1993. pp 30-40.
    • (1993) Proc Int Conf on Intelligence Information Systems , pp. 30-40
    • Skowron, A.1
  • 25
    • 84942897203 scopus 로고    scopus 로고
    • Rough set analysis of preference-ordered data
    • Alpigini JJ, Peters JF, Skowronek J, Zhong N, editors LNAI 2475. Berlin, Heidelberg: Springer-Verlag
    • Slowinski R, Greco S, Matarazzo B. Rough set analysis of preference-ordered data. In: Alpigini JJ, Peters JF, Skowronek J, Zhong N, editors. Rough Sets and Current Trends in Computing, RSCTC 2002, LNAI 2475. Berlin, Heidelberg: Springer-Verlag; 2002. pp 44-59.
    • (2002) Rough Sets and Current Trends in Computing, RSCTC 2002 , pp. 44-59
    • Slowinski, R.1    Greco, S.2    Matarazzo, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.