메뉴 건너뛰기




Volumn 4062 LNAI, Issue , 2006, Pages 254-261

Knowledge reduction in incomplete information systems based on Dempster-Shafer theory of evidence

Author keywords

Belief functions; Incomplete information systems; Knowledge reduction; Rough sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; INFORMATION SCIENCE; ROUGH SET THEORY; THEOREM PROVING;

EID: 33746733568     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_37     Document Type: Conference Paper
Times cited : (6)

References (26)
  • 2
    • 0000255880 scopus 로고    scopus 로고
    • Comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables
    • Polkowski, L., Skowron A., Eds., Physica-Verlag, Heidelberg
    • Bazan, J.A.: Comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. In: Polkowski, L., Skowron A., Eds., Rough Sets in Knowledge Discovery: 1. Methodology and Applications. Physica-Verlag, Heidelberg (1998) 321-365.
    • (1998) Rough Sets in Knowledge Discovery: 1. Methodology and Applications , pp. 321-365
    • Bazan, J.A.1
  • 3
    • 0035502119 scopus 로고    scopus 로고
    • Redacts within the variable precision rough sets model: A further investigation
    • Beynon, M.: Redacts within the variable precision rough sets model: a further investigation. European Journal of Operational Research. 134 (2001) 592-605.
    • (2001) European Journal of Operational Research , vol.134 , pp. 592-605
    • Beynon, M.1
  • 4
    • 0035156139 scopus 로고    scopus 로고
    • Comparative study of alternative types of knowledge reduction in insistent systems
    • Kryszkiewicz, M.: Comparative study of alternative types of knowledge reduction in insistent systems. International Journal of Intelligent Systems. 16 (2001) 105-120.
    • (2001) International Journal of Intelligent Systems , vol.16 , pp. 105-120
    • Kryszkiewicz, M.1
  • 6
    • 1642525195 scopus 로고    scopus 로고
    • Approaches to knowledge reductions based on variable precision rough sets model
    • Mi, J.-S., Wu, W.-Z., Zhang, W.-X.: Approaches to knowledge reductions based on variable precision rough sets model. Information Sciences. 159 (2004) 255-272.
    • (2004) Information Sciences , vol.159 , pp. 255-272
    • Mi, J.-S.1    Wu, W.-Z.2    Zhang, W.-X.3
  • 7
    • 84958040404 scopus 로고    scopus 로고
    • Approximation redacts and association rules correspondence and complexity results
    • Zhong, N., Skowron, A., Oshuga, S., Eds., LNAI 1711, Springer, Berlin
    • Nguyen, H.S., Slezak, D.: Approximation redacts and association rules correspondence and complexity results. In: Zhong, N., Skowron, A., Oshuga, S., Eds., New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. LNAI 1711, Springer, Berlin (1999) 137-145.
    • (1999) New Directions in Rough Sets, Data Mining, and Granular-soft Computing , pp. 137-145
    • Nguyen, H.S.1    Slezak, D.2
  • 8
    • 0141620990 scopus 로고    scopus 로고
    • Searching for dynamic reducts in inconsistent decision tables
    • Paris, France
    • Slezak, D.: Searching for dynamic reducts in inconsistent decision tables. In: Proceedings of IPMU'98. Paris, France, Vol.2 (1998) 1362-1369.
    • (1998) Proceedings of IPMU'98 , vol.2 , pp. 1362-1369
    • Slezak, D.1
  • 9
    • 0012606338 scopus 로고    scopus 로고
    • Approximate reducts in decision tables
    • Granada, Spain
    • Slezak, D.: Approximate reducts in decision tables. In: Proceedings of IPMU'96. Granada, Spain, Vol.3 (1996) 1159-1164.
    • (1996) Proceedings of IPMU'96 , vol.3 , pp. 1159-1164
    • Slezak, D.1
  • 10
    • 21244455292 scopus 로고    scopus 로고
    • Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
    • Wu, W.-Z., Zhang, M., Li, H.-Z., Mi, J.-S.: Knowledge reduction in random information systems via Dempster-Shafer theory of evidence. Information Sciences. 174 (2005) 143-164.
    • (2005) Information Sciences , vol.174 , pp. 143-164
    • Wu, W.-Z.1    Zhang, M.2    Li, H.-Z.3    Mi, J.-S.4
  • 11
    • 0242352585 scopus 로고    scopus 로고
    • A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory
    • 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 Systems. 20 (2003) 298-304.
    • (2003) Expert Systems , vol.20 , pp. 298-304
    • Zhang, M.1    Xu, L.D.2    Zhang, W.-X.3    Li, H.-Z.4
  • 13
    • 0032294902 scopus 로고    scopus 로고
    • Rough set approach to incomplete information systems
    • Kryszkiewicz, M.: Rough set approach to incomplete information systems. Information Sciences. 112 (1998) 39-49.
    • (1998) Information Sciences , vol.112 , pp. 39-49
    • Kryszkiewicz, M.1
  • 14
    • 0033079944 scopus 로고    scopus 로고
    • Rules in incomplete information systems
    • Kryszkiewicz, M.: Rules in incomplete information systems. Information Sciences. 113 (1999) 271-292.
    • (1999) Information Sciences , vol.113 , pp. 271-292
    • Kryszkiewicz, M.1
  • 15
    • 0037809690 scopus 로고    scopus 로고
    • Maximal consistent block technique for rule acquisition in incomplete information systems
    • Leung, Y., Li, D.Y.: Maximal consistent block technique for rule acquisition in incomplete information systems. Information Sciences. 153 (2003) 85-106.
    • (2003) Information Sciences , vol.153 , pp. 85-106
    • Leung, Y.1    Li, D.Y.2
  • 16
    • 16244396746 scopus 로고    scopus 로고
    • Knowledge acquisition in incomplete information systems: A rough set approach
    • Leung, Y., Wu, W.-Z., Zhang, W.-X.: Knowledge acquisition in incomplete information systems: a rough set approach. European Journal of Operational Research. 168 (2006) 164-180.
    • (2006) European Journal of Operational Research , vol.168 , pp. 164-180
    • Leung, Y.1    Wu, W.-Z.2    Zhang, W.-X.3
  • 20
    • 0242289558 scopus 로고    scopus 로고
    • Knowledge acquisition in incomplete fuzzy information systems via rough set approach
    • Wu, W.-Z., Zhang, W.-X., Li, H.-Z.: Knowledge acquisition in incomplete fuzzy information systems via rough set approach. Expert Systems. 20 (2003) 280-286.
    • (2003) Expert Systems , vol.20 , pp. 280-286
    • Wu, W.-Z.1    Zhang, W.-X.2    Li, H.-Z.3
  • 23
    • 0002580328 scopus 로고
    • From rough set theory to evidence theory
    • Yager, R.R., Fedrizzi, M., Kacprzyk, J., Eds., Wiley, New York
    • Skowron, A., Grzymala-Busse, J.: From rough set theory to evidence theory. In: Yager, R.R., Fedrizzi, M., Kacprzyk, J., Eds., Advances in the Dempster-Shafer Theory of Evidence. Wiley, New York (1994) 193-236.
    • (1994) Advances in the Dempster-Shafer Theory of Evidence , pp. 193-236
    • Skowron, A.1    Grzymala-Busse, J.2
  • 24
    • 0242385735 scopus 로고    scopus 로고
    • Connections between rough set theory and Dempster-Shafer theory of evidence
    • Wu W.-Z., Leung Y., Zhang W.-X.: Connections between rough set theory and Dempster-Shafer theory of evidence. International Journal of General Systems. 31 (2002) 405-430.
    • (2002) International Journal of General Systems , vol.31 , pp. 405-430
    • Wu, W.-Z.1    Leung, Y.2    Zhang, W.-X.3
  • 25
    • 0031632311 scopus 로고    scopus 로고
    • Interpretations of belief functions in the theory of rough sets
    • Yao, Y.Y.: Interpretations of belief functions in the theory of rough sets. Information Sciences. 104 (1998) 81-106.
    • (1998) Information Sciences , vol.104 , pp. 81-106
    • Yao, Y.Y.1
  • 26
    • 0002650257 scopus 로고    scopus 로고
    • Generalized rough set models
    • Polkowski, L., Skowron, A., Eds., Physica-Verlag, Heidelberg
    • Yao, Y.Y.: Generalized rough set models. In: Polkowski, L., Skowron, A., Eds., Rough Sets in Knowledge Discovery: 1. Methodology and Applications. Physica-Verlag, Heidelberg (1998) 286-318.
    • (1998) Rough Sets in Knowledge Discovery: 1. Methodology and Applications , pp. 286-318
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.