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Volumn 141, Issue 1, 2004, Pages 59-88

Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining

Author keywords

Data mining; Evolutionary multi criterion optimization; Fuzzy rule selection; Hybrid genetic algorithms; Pattern classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SETS; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; OPTIMIZATION; PATTERN MATCHING;

EID: 0346781550     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(03)00114-3     Document Type: Conference Paper
Times cited : (399)

References (32)
  • 1
    • 0031209094 scopus 로고    scopus 로고
    • A fuzzy classifier with ellipsoidal regions
    • Abe S., Thawonmas R. A fuzzy classifier with ellipsoidal regions. IEEE Trans. Fuzzy Systems. 5(3):1997;358-368.
    • (1997) IEEE Trans. Fuzzy Systems , vol.5 , Issue.3 , pp. 358-368
    • Abe, S.1    Thawonmas, R.2
  • 3
    • 0347149812 scopus 로고
    • R. Agrawal, R. Srikant, Fast algorithms for mining association rules, Proc. 20th International Conf. on Very Large Data Bases, 1994, pp. 487-499. (Expanded version is available as IBM Research Report RJ9839, 1994).
    • (1994) IBM Research Report , vol.RJ9839
  • 4
    • 0035897955 scopus 로고    scopus 로고
    • Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
    • Castillo L., Gonzalez A., Perez P. Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm. Fuzzy Sets and Systems. 120(2):2001;309-321.
    • (2001) Fuzzy Sets and Systems , vol.120 , Issue.2 , pp. 309-321
    • Castillo, L.1    Gonzalez, A.2    Perez, P.3
  • 5
    • 0035501966 scopus 로고    scopus 로고
    • Use of a fuzzy machine learning technique in the knowledge acquisition process
    • Castro J.L., Castro-Schez J.J., Zurita J.M. Use of a fuzzy machine learning technique in the knowledge acquisition process. Fuzzy Sets and Systems. 123(3):2001;307-320.
    • (2001) Fuzzy Sets and Systems , vol.123 , Issue.3 , pp. 307-320
    • Castro, J.L.1    Castro-Schez, J.J.2    Zurita, J.M.3
  • 6
    • 0032655554 scopus 로고    scopus 로고
    • A proposal on reasoning methods in fuzzy rule-based classification systems
    • Cordon O., del Jesus M.J., Herrera F. A proposal on reasoning methods in fuzzy rule-based classification systems. Internat. J. Approx. Reason. 20(1):1999;21-45.
    • (1999) Internat. J. Approx. Reason. , vol.20 , Issue.1 , pp. 21-45
    • Cordon, O.1    Del Jesus, M.J.2    Herrera, F.3
  • 10
    • 0032141635 scopus 로고    scopus 로고
    • A multi-objective genetic local search algorithm and its application to flowshop scheduling
    • Ishibuchi H., Murata T. A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. Systems Man Cybernet. - Part C: Appl. Rev. 28(3):1998;392-403.
    • (1998) IEEE Trans. Systems Man Cybernet. - Part C: Appl. Rev. , vol.28 , Issue.3 , pp. 392-403
    • Ishibuchi, H.1    Murata, T.2
  • 11
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • Ishibuchi H., Murata T., Turksen I.B. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems. 89(2):1997;135-149.
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.2 , pp. 135-149
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 12
    • 0035415473 scopus 로고    scopus 로고
    • Effect of rule weights in fuzzy rule-based classification systems
    • Ishibuchi H., Nakashima T. Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans. Fuzzy Systems. 9(4):2001;506-515.
    • (2001) IEEE Trans. Fuzzy Systems , vol.9 , Issue.4 , pp. 506-515
    • Ishibuchi, H.1    Nakashima, T.2
  • 13
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • Ishibuchi H., Nakashima T., Murata T. Three-objective genetics-based machine learning for linguistic rule extraction. Inform. Sci. 136(1-4):2001;109-133.
    • (2001) Inform. Sci. , vol.136 , Issue.1-4 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 14
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classification
    • Ishibuchi H., Nozaki K., Tanaka H. Distributed representation of fuzzy rules and its application to pattern classification. Fuzzy Sets and Systems. 52(1):1992;21-32.
    • (1992) Fuzzy Sets and Systems , vol.52 , Issue.1 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 15
    • 0028482107 scopus 로고
    • Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
    • Ishibuchi H., Nozaki K., Yamamoto N., Tanaka H. Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms. Fuzzy Sets and Systems. 65(2/3):1994;237-253.
    • (1994) Fuzzy Sets and Systems , vol.65 , Issue.2-3 , pp. 237-253
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 16
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • Ishibuchi H., Nozaki K., Yamamoto N., Tanaka H. Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans. Fuzzy Systems. 3(3):1995;260-270.
    • (1995) IEEE Trans. Fuzzy Systems , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 18
    • 0037116765 scopus 로고    scopus 로고
    • Genetic local search for multi-objective combinatorial optimization
    • Jaszkiewicz A. Genetic local search for multi-objective combinatorial optimization. European J. Oper. Res. 137(1):2002;50-71.
    • (2002) European J. Oper. Res. , vol.137 , Issue.1 , pp. 50-71
    • Jaszkiewicz, A.1
  • 20
    • 0033704546 scopus 로고    scopus 로고
    • Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
    • Jin Y. Fuzzy modeling of high-dimensional systems. complexity reduction and interpretability improvement IEEE Trans. Fuzzy Systems. 8(2):2000;212-221.
    • (2000) IEEE Trans. Fuzzy Systems , vol.8 , Issue.2 , pp. 212-221
    • Jin, Y.1
  • 23
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • Nauck D., Kruse R. A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy Sets and Systems. 89(3):1997;277-288.
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.3 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 24
  • 29
    • 0034294243 scopus 로고    scopus 로고
    • GA-based modeling and classification: Complexity and performance
    • Setnes M., Roubos H. GA-based modeling and classification. complexity and performance IEEE Trans. Fuzzy Systems. 8(5):2000;509-522.
    • (2000) IEEE Trans. Fuzzy Systems , vol.8 , Issue.5 , pp. 509-522
    • Setnes, M.1    Roubos, H.2
  • 31
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler E., Thiele L. Multiobjective evolutionary algorithms. a comparative case study and the strength Pareto approach IEEE Trans. Evol. Comput. 3(4):1999;257-271.
    • (1999) IEEE Trans. Evol. Comput. , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 32
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler E., Deb K., Thiele L. Comparison of multiobjective evolutionary algorithms. empirical results Evol. Comput. 8(2):2000;173-195.
    • (2000) Evol. Comput. , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.