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Volumn 6401 LNAI, Issue , 2010, Pages 118-125

A new fitness function for solving minimum attribute reduction problem

Author keywords

[No Author keywords available]

Indexed keywords

ATTRIBUTE REDUCTION ALGORITHM; AVERAGE LENGTH; COMMONLY USED; CONSTRAINED COMBINATORIAL OPTIMIZATION; FITNESS EVALUATIONS; FITNESS FUNCTIONS; MAXIMIZATION PROBLEM; MINIMUM ATTRIBUTE REDUCTION; NP-HARD; OPTIMALITY; REDUCTS; STOCHASTIC OPTIMIZATION METHODS;

EID: 78349242883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16248-0_21     Document Type: Conference Paper
Times cited : (4)

References (11)
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    • IEEE Computer Society Press, Los Alamitos
    • Dai, J.H.: Particle swarm algorithm for minimal attribute reduction of decision tables. In: Proceedings of IMSCCS 2006, vol. 2, pp. 572-575. IEEE Computer Society Press, Los Alamitos (2006)
    • (2006) Proceedings of IMSCCS 2006 , vol.2 , pp. 572-575
    • Dai, J.H.1
  • 5
    • 43249111682 scopus 로고    scopus 로고
    • An efficient ant colony optimization approach to attribute reduction in rough set theory
    • Ke, L.J., Feng, Z.R., Ren, Z.G.: An efficient ant colony optimization approach to attribute reduction in rough set theory. Pattern Recognition Letters 29, 1351-1357 (2008)
    • (2008) Pattern Recognition Letters , vol.29 , pp. 1351-1357
    • Ke, L.J.1    Feng, Z.R.2    Ren, Z.G.3
  • 6
    • 33645977199 scopus 로고    scopus 로고
    • Finding minimal rough set reducts with particle swarm optimization
    • Ślłzak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) LNCS (LNAI) Springer, Heidelberg
    • Wang, X.Y., Yang, J., Peng, N.S., et al.: Finding Minimal Rough Set Reducts with Particle Swarm Optimization. In: Ślłzak, D., Wang, G., Szczuka, M.S., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 451-460. Springer, Heidelberg (2005)
    • (2005) RSFDGrC 2005 , vol.3641 , pp. 451-460
    • Wang, X.Y.1    Yang, J.2    Peng, N.S.3
  • 7
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • DOI 10.1016/j.patrec.2006.09.003, PII S0167865506002327
    • Wang, X.Y., Yang, J., Teng, X., Xia, W., Jensen, R.: Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28, 459-471 (2007) (Pubitemid 44920436)
    • (2007) Pattern Recognition Letters , vol.28 , Issue.4 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5
  • 9
    • 42549128276 scopus 로고    scopus 로고
    • Tabu search for attribute reduction in rough set theory
    • Hedar, A.R., Wang, J., Fukushima, M.: Tabu search for attribute reduction in rough set theory. Soft Computing 12(9), 909-918 (2008)
    • (2008) Soft Computing , vol.12 , Issue.9 , pp. 909-918
    • Hedar, A.R.1    Wang, J.2    Fukushima, M.3
  • 10
    • 38049105976 scopus 로고    scopus 로고
    • A new algorithm for minimum attribute reduction based on binary particle swarm optimization with vaccination
    • Zhou, Z.-H., Li, H., Yang, Q. (eds.) LNCS (LNAI) Springer, Heidelberg
    • Ye, D.Y., Chen, Z.J., Liao, J.K.: A New Algorithm for Minimum Attribute Reduction Based on Binary Particle Swarm Optimization with Vaccination. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol. 4426, pp. 1029-1036. Springer, Heidelberg (2007)
    • (2007) PAKDD 2007 , vol.4426 , pp. 1029-1036
    • Ye, D.Y.1    Chen, Z.J.2    Liao, J.K.3
  • 11
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    • Rough set approach to multi-attribute decision analysis
    • Pawlak, Z., Slowinski, R.: Rough set approach to multi-attribute decision analysis. European J. of Operational Research 72, 443-459 (1994)
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    • Pawlak, Z.1    Slowinski, R.2


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