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Volumn , Issue , 2007, Pages 42-49

Relation between pareto-optimal fuzzy rules and pareto-optimal fuzzy rule sets

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; COMPUTATIONAL COMPLEXITY; DATA MINING; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE;

EID: 34548799281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MCDM.2007.369415     Document Type: Conference Paper
Times cited : (22)

References (30)
  • 2
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: Accurate and efficient classification based on multiple class-association rules
    • San Jose, November 29, December 2
    • W. Li, J. Han, and J. Pei, "CMAR: Accurate and efficient classification based on multiple class-association rules," Proc. of 1st IEEE International Conference on Data Mining, San Jose, November 29 - December 2, 2001, pp. 369-376.
    • (2001) Proc. of 1st IEEE International Conference on Data Mining , pp. 369-376
    • Li, W.1    Han, J.2    Pei, J.3
  • 4
    • 33646136001 scopus 로고    scopus 로고
    • Improving rule sorting, predictive accuracy and training time in associative classification
    • August
    • F. Thabtah, P. Cowling, and S. Hammoud, "Improving rule sorting, predictive accuracy and training time in associative classification," Expert Systems with Applications, vol. 31, no. 2, August 2006, pp. 414-426.
    • (2006) Expert Systems with Applications , vol.31 , Issue.2 , pp. 414-426
    • Thabtah, F.1    Cowling, P.2    Hammoud, S.3
  • 5
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy eds, AAAI Press, Menlo Park
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo, "Fast discovery of association rules," in U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press, Menlo Park, 1996, pp. 307-328.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1    Mannila, H.2    Srikant, R.3    Toivonen, H.4    Verkamo, A.I.5
  • 9
    • 27144538611 scopus 로고    scopus 로고
    • The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification
    • March
    • B. de la Iglesia, G. Richards, M. S. Philpott, and V. J. Rayward-Smith, "The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification," European Journal of Operational Research, vol. 169, no. 3, March 2006, pp. 898-917.
    • (2006) European Journal of Operational Research , vol.169 , Issue.3 , pp. 898-917
    • de la Iglesia, B.1    Richards, G.2    Philpott, M.S.3    Rayward-Smith, V.J.4
  • 10
    • 40649109573 scopus 로고    scopus 로고
    • Rule induction using multi-objective metaheuristics: Encouraging rule diversity
    • Vancouver, Canada, July 16-21
    • A. Reynolds and B. de la Iglesia, "Rule induction using multi-objective metaheuristics: Encouraging rule diversity," Proc. of 2006 International Joint Conference on Neural Networks, Vancouver, Canada, July 16-21, 2006, pp. 6375-6382.
    • (2006) Proc. of 2006 International Joint Conference on Neural Networks , pp. 6375-6382
    • Reynolds, A.1    de la Iglesia, B.2
  • 11
    • 2442699339 scopus 로고    scopus 로고
    • Multi-objective rule mining using genetic algorithms
    • June
    • A. Ghosh and B. T. Nath, "Multi-objective rule mining using genetic algorithms," Information Sciences, vol. 163, no. 1-3, June 2004, pp. 123-133.
    • (2004) Information Sciences , vol.163 , Issue.1-3 , pp. 123-133
    • Ghosh, A.1    Nath, B.T.2
  • 12
    • 33244458239 scopus 로고    scopus 로고
    • Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
    • May
    • M. Kaya, "Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules," Soft Computing, vol. 10, no. 7, May 2006, pp. 578-586.
    • (2006) Soft Computing , vol.10 , Issue.7 , pp. 578-586
    • Kaya, M.1
  • 15
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • August
    • H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algorithms," IEEE Trans. on Fuzzy Systems, vol. 3, no. 3, August 1995, pp. 260-270.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 16
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • July
    • H. Ishibuchi, T. Murata, and I. B. Turksen, "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems," Fuzzy Sets and Systems, vol. 89, no. 2, July 1997, pp. 135-150.
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.2 , pp. 135-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 17
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • August
    • H. Ishibuchi, T. Nakashima, and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction," Information Sciences, vol. 136, no. 1-4, August 2001, pp. 109-133.
    • (2001) Information Sciences , vol.136 , Issue.1-4 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 18
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • January
    • H. Ishibuchi and T. Yamamoto, "Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining," Fuzzy Sets and Systems, vol. 141, no. 1, January 2004, pp. 59-88.
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.1 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 19
    • 33645386802 scopus 로고    scopus 로고
    • Evolutionary multi-objective knowledge extraction for high-dimensional pattern classification problems
    • Springer, Berlin, September
    • H. Ishibuchi and S. Namba, "Evolutionary multi-objective knowledge extraction for high-dimensional pattern classification problems," Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature - PPSN VIII, Springer, Berlin, September 2004, pp. 1123-1132.
    • (2004) Lecture Notes in Computer Science, Vol. 3242: Parallel Problem Solving from Nature - PPSN , vol.8 , pp. 1123-1132
    • Ishibuchi, H.1    Namba, S.2
  • 21
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classification
    • November
    • H. Ishibuchi, K. Nozaki, and H. Tanaka, "Distributed representation of fuzzy rules and its application to pattern classification," Fuzzy Sets and Systems, vol. 52, no. 1, November 1992, pp. 21-32.
    • (1992) Fuzzy Sets and Systems , vol.52 , Issue.1 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 22
    • 0035415473 scopus 로고    scopus 로고
    • Effect of rule weights in fuzzy rule-based classification systems
    • August
    • H. Ishibuchi and T. Nakashima, "Effect of rule weights in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems, vol. 9, no. 4, August 2001, pp. 506-515.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , Issue.4 , pp. 506-515
    • Ishibuchi, H.1    Nakashima, T.2
  • 23
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • August
    • H. Ishibuchi and T. Yamamoto, "Rule weight specification in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems, vol. 13, no. 4, August 2005, pp. 428-435.
    • (2005) IEEE Trans. on Fuzzy Systems , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 24
    • 0032655554 scopus 로고    scopus 로고
    • A proposal on reasoning methods in fuzzy rule-based classification systems
    • January
    • O. Cordon, M. J. del Jesus, and F. Herrera, "A proposal on reasoning methods in fuzzy rule-based classification systems," International Journal of Approximate Reasoning, vol. 20, no. 1, January 1999, pp. 21-45.
    • (1999) International Journal of Approximate Reasoning , vol.20 , Issue.1 , pp. 21-45
    • Cordon, O.1    del Jesus, M.J.2    Herrera, F.3
  • 25
    • 0000719509 scopus 로고    scopus 로고
    • Voting in fuzzy rule-based systems for pattern classification problems
    • April
    • H. Ishibuchi, T. Nakashima, and T. Morisawa, "Voting in fuzzy rule-based systems for pattern classification problems," Fuzzy Sets and Systems, vol. 103, no. 2, April 1999, pp. 223-238.
    • (1999) Fuzzy Sets and Systems , vol.103 , Issue.2 , pp. 223-238
    • Ishibuchi, H.1    Nakashima, T.2    Morisawa, T.3
  • 27


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.