메뉴 건너뛰기




Volumn 37, Issue 4, 2010, Pages 2714-2723

Two cooperative ant colonies for feature selection using fuzzy models

Author keywords

Ant colony optimization; Feature selection; Fuzzy modeling

Indexed keywords

ANT COLONIES; ANT-COLONY OPTIMIZATION; CLASSIFICATION ACCURACY; CLASSIFICATION ERRORS; CLASSIFICATION SYSTEM; DATA PREPROCESSING; FEATURE SELECTION; FEATURES SELECTION; FUZZY MODELING; FUZZY MODELS; HIGHLY-CORRELATED; NUMERICAL DATA; POTENTIAL FEATURES; REAL-WORLD DATABASE; RULE BASED;

EID: 71549117600     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.08.026     Document Type: Article
Times cited : (90)

References (39)
  • 1
    • 0041339769 scopus 로고    scopus 로고
    • Supervised fuzzy clustering for the identification of fuzzy classifiers
    • Abonyi J., and Szeifert F. Supervised fuzzy clustering for the identification of fuzzy classifiers. Pattern Recognition Letters 24 14 (2003) 2195-2207
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2195-2207
    • Abonyi, J.1    Szeifert, F.2
  • 4
    • 0038404485 scopus 로고    scopus 로고
    • Rough set algorithms in classification problem
    • Polkowski L., Tsumoto S., and Lin T.Y. (Eds), Physica-Verlag, New York
    • Bazan J., Nguyen H.S., Nguyen S.H., Synak P., and Wroblewski J. Rough set algorithms in classification problem. In: Polkowski L., Tsumoto S., and Lin T.Y. (Eds). Rough set methods and applications (2000), Physica-Verlag, New York 49-88
    • (2000) Rough set methods and applications , pp. 49-88
    • Bazan, J.1    Nguyen, H.S.2    Nguyen, S.H.3    Synak, P.4    Wroblewski, J.5
  • 12
    • 0037692973 scopus 로고    scopus 로고
    • Feature ranking in rough sets
    • Hu K., Lu Y.C., and Shi C.Y. Feature ranking in rough sets. AI Communication 16 1 (2003) 41-50
    • (2003) AI Communication , vol.16 , Issue.1 , pp. 41-50
    • Hu, K.1    Lu, Y.C.2    Shi, C.Y.3
  • 13
    • 0032597810 scopus 로고    scopus 로고
    • Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
    • Ishibuchi H., Nakashima T., and Murata T. Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Transactions on Systems Man and Cybernetics Part B 29 (1999) 601-618
    • (1999) IEEE Transactions on Systems Man and Cybernetics Part B , vol.29 , pp. 601-618
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 14
    • 33751186914 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
    • Ishibuchi H., and Nojima Y. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal of Approximate Reasoning 44 (2007) 4-31
    • (2007) International Journal of Approximate Reasoning , vol.44 , pp. 4-31
    • Ishibuchi, H.1    Nojima, Y.2
  • 16
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • Jensen R., and Shen Q. Fuzzy-rough attribute reduction with application to web categorization. Fuzzy Sets and Systems 141 3 (2004) 469-485
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.3 , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 17
    • 9644262464 scopus 로고    scopus 로고
    • Fuzzy-rough data reduction with ant colony optimization
    • Jensen R., and Shen Q. Fuzzy-rough data reduction with ant colony optimization. Fuzzy Sets and Systems 149 (2005) 5-20
    • (2005) Fuzzy Sets and Systems , vol.149 , pp. 5-20
    • Jensen, R.1    Shen, Q.2
  • 20
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • Liu H., and Yu L. Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering 17 4 (2005) 491-502
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.4 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 23
    • 85140468046 scopus 로고
    • Id2-of-3: Constructive induction of M-of-N concepts for discriminators in decision trees
    • Evanston, IL, June
    • Murphy, P. M., & Pazzani, M. J. (1991). Id2-of-3: Constructive induction of M-of-N concepts for discriminators in decision trees. In Proceedings of the eighth international workshop on machine learning, Evanston, IL, June 1991 (pp. 183-187).
    • (1991) Proceedings of the eighth international workshop on machine learning , pp. 183-187
    • Murphy, P.M.1    Pazzani, M.J.2
  • 24
    • 42649122303 scopus 로고    scopus 로고
    • Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
    • Pulkkinen P., and Koivisto H. Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms. International Journal of Approximate Reasoning 48 2 (2008) 526-543
    • (2008) International Journal of Approximate Reasoning , vol.48 , Issue.2 , pp. 526-543
    • Pulkkinen, P.1    Koivisto, H.2
  • 25
    • 71549145334 scopus 로고    scopus 로고
    • Roubos, J. A., Setnes, M., & Abonyi, J. Learning fuzzy classification rules from data. 2001 of Developments in soft computing. Proceedings of the international conference on recent advances in soft computing 2000 (Chapter 13, pp. 108-115). Berlin/Heidelberg: Springer-Verlag.
    • Roubos, J. A., Setnes, M., & Abonyi, J. Learning fuzzy classification rules from data. Volume 2001 of Developments in soft computing. Proceedings of the international conference on recent advances in soft computing 2000 (Chapter 13, pp. 108-115). Berlin/Heidelberg: Springer-Verlag.
  • 28
    • 0034294243 scopus 로고    scopus 로고
    • GA-fuzzy modeling and classification: Complexity and performance
    • Setnes M., and Roubos J.A. GA-fuzzy modeling and classification: Complexity and performance. IEEE Transactions on Fuzzy Systems 8 5 (2000) 509-522
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.5 , pp. 509-522
    • Setnes, M.1    Roubos, J.A.2
  • 32
    • 33845621875 scopus 로고    scopus 로고
    • A hybrid approach for feature subset selection using neural networks and ant colony optimization
    • Sivagaminathan R.K., and Ramakrishnan S. A hybrid approach for feature subset selection using neural networks and ant colony optimization. Expert Systems with Applications 33 (2007) 49-60
    • (2007) Expert Systems with Applications , vol.33 , pp. 49-60
    • Sivagaminathan, R.K.1    Ramakrishnan, S.2
  • 34
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • Sugeno M., and Yasukawa T. A fuzzy-logic-based approach to qualitative modeling. IEEE Transactions on Fuzzy Systems 1 1 (1993) 7-31
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , Issue.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 35
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modelling and control
    • Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modelling and control. IEEE Transactions on Systems Man and Cybernetics 15 1 (1985) 116-132
    • (1985) IEEE Transactions on Systems Man and Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 37
    • 37249055074 scopus 로고    scopus 로고
    • Vieira, S. M., Sousa, J. M. C., & Runkler, T. A. (2007). Ant colony optimization applied to feature selection in fuzzy classifiers. In Melin et al. (Eds.), Lecture Notes in artificial intelligence 4529. Foundations of fuzzy logic and soft computing. Proceedings of the 12th international fuzzy systems association world congress, IFSA 2007 (4529, pp. 778-788). Cancun, México: Springer.
    • Vieira, S. M., Sousa, J. M. C., & Runkler, T. A. (2007). Ant colony optimization applied to feature selection in fuzzy classifiers. In Melin et al. (Eds.), Lecture Notes in artificial intelligence 4529. Foundations of fuzzy logic and soft computing. Proceedings of the 12th international fuzzy systems association world congress, IFSA 2007 (Vol. 4529, pp. 778-788). Cancun, México: Springer.
  • 38
    • 13944274490 scopus 로고    scopus 로고
    • Theoretical study on attribute reduction of rough set theory: Comparison of algebra and information views
    • ieee international conference on cognitive informatics
    • Wang, G. Y., & Zhao, J. (2004). Theoretical study on attribute reduction of rough set theory: Comparison of algebra and information views. In Proceedings of the third ieee international conference on cognitive informatics.
    • (2004) Proceedings of the third
    • Wang, G.Y.1    Zhao, J.2
  • 39
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • Wang X., Yang J., Teng X., Xia W., and Jensen R. Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28 (2007) 459-471
    • (2007) Pattern Recognition Letters , vol.28 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4    Jensen, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.