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Volumn , Issue , 2005, Pages 285-290

Multiobjective formulations of fuzzy rule-based classification system design

Author keywords

Accuracy complexity tradeoff; Evolutionary multiobjective optimization; Fuzzy rule based classification systems

Indexed keywords

ACCURACY MEASURES; ACCURACY-COMPLEXITY TRADEOFF; COMPLEXITY MEASURES; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; EVOLUTIONARY RULES; FUZZY RULE BASED CLASSIFICATION SYSTEMS; FUZZY RULE-BASED SYSTEMS; HEURISTIC RULES; MULTI-OBJECTIVE FORMULATION; OPTIMIZATION PROBLEMS; RULE SELECTION;

EID: 84864989145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (18)
  • 7
    • 0033116171 scopus 로고    scopus 로고
    • SLAVE: A genetic learning system based on an iterative approach
    • A. Gonzalez and R. Perez, "SLAVE: A genetic learning system based on an iterative approach," IEEE Trans. on Fuzzy Systems, vol. 7, no. 2, pp. 176-191, 1999.
    • (1999) IEEE Trans. on Fuzzy Systems , vol.7 , Issue.2 , pp. 176-191
    • Gonzalez, A.1    Perez, R.2
  • 8
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • 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, pp. 135-150, 1997.
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.2 , pp. 135-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 9
    • 0035415473 scopus 로고    scopus 로고
    • Effect of rule weights in fuzzy rule-based classification systems
    • H. Ishibuchi and T. Nakashima, "Effect of rule weights in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems, vol. 9, no. 4, pp. 506-515, 2001.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , Issue.4 , pp. 506-515
    • Ishibuchi, H.1    Nakashima, T.2
  • 10
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • H. Ishibuchi, T. Nakashima, and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction," Information Sciences, vol. 136, no. 1-4, pp. 109-133, 2001.
    • (2001) Information Sciences , vol.136 , Issue.1-4 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 12
    • 0028482107 scopus 로고
    • Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
    • H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms," Fuzzy Sets and Systems, vol. 65, no. 2/3, pp. 237-253, 1994.
    • (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
  • 13
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • 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, pp. 260-270, 1995.
    • (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
  • 14
    • 21144433915 scopus 로고    scopus 로고
    • Effects of three-objective genetic rule selection on the generalization ability of fuzzy rule-based systems
    • Springer
    • H. Ishibuchi and T. Yamamoto, "Effects of three-objective genetic rule selection on the generalization ability of fuzzy rule-based systems," Lecture Notes in Computer Science 2632: EMO 2003, pp. 608-622, Springer, 2003.
    • (2003) Lecture Notes in Computer Science 2632: EMO 2003 , pp. 608-622
    • Ishibuchi, H.1    Yamamoto, T.2
  • 15
    • 35248819821 scopus 로고    scopus 로고
    • Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers
    • Springer
    • H. Ishibuchi and T. Yamamoto, "Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers," Lecture Notes in Computer Science 2723: GECCO 2003, pp. 1077-1088, Springer, 2003.
    • (2003) Lecture Notes in Computer Science 2723: GECCO 2003 , pp. 1077-1088
    • Ishibuchi, H.1    Yamamoto, T.2
  • 16
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • 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, pp. 59-88, 2004.
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.1 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 17
    • 3543091439 scopus 로고    scopus 로고
    • Comparison of heuristic criteria for fuzzy rule selection in classification problems
    • H. Ishibuchi and T. Yamamoto, "Comparison of heuristic criteria for fuzzy rule selection in classification problems," Fuzzy Optimization and Decision Making, vol. 3, no. 2, pp. 119-139, 2004.
    • (2004) Fuzzy Optimization and Decision Making , vol.3 , Issue.2 , pp. 119-139
    • Ishibuchi, H.1    Yamamoto, T.2
  • 18
    • 33645395972 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • (in press)
    • H. Ishibuchi and T. Yamamoto, "Rule weight specification in fuzzy rule-based classification systems," IEEE Trans. on Fuzzy Systems (in press).
    • IEEE Trans. on Fuzzy Systems
    • Ishibuchi, H.1    Yamamoto, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.