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Volumn , Issue , 2007, Pages

Consistent, complete and compact generation of DNF-type fuzzy rules by a Pittsburgh-style genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY LOGIC; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; GENETIC ALGORITHMS; LAWS AND LEGISLATION; SPACE RESEARCH;

EID: 50249158107     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2007.4295630     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 1
    • 3242791702 scopus 로고    scopus 로고
    • Decision support through subgroup discovery: Three case studies and the lessons learned
    • N. Lavrac, B. Cestnik, D. Gamberger, and P. Flach, "Decision support through subgroup discovery: three case studies and the lessons learned," Machine Learning, vol. 57, no. 1-2, pp. 115-143, 2004.
    • (2004) Machine Learning , vol.57 , Issue.1-2 , pp. 115-143
    • Lavrac, N.1    Cestnik, B.2    Gamberger, D.3    Flach, P.4
  • 2
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • L.-X. Wang and J.M. Mendel, "Generating fuzzy rules by learning from examples," IEEE Trans. Systems, Man, and Cybernetics, vol. 22, no. 6, pp. 1414-1427, 1992.
    • (1992) IEEE Trans. Systems, Man, and Cybernetics , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.-X.1    Mendel, J.M.2
  • 3
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • K. Nozaki, H. Ishibuchi, and H. Tanaka, "A simple but powerful heuristic method for generating fuzzy rules from numerical data," Fuzzy Sets and Systems, vol. 86, no. 3, pp. 251-270, 1997.
    • (1997) Fuzzy Sets and Systems , vol.86 , Issue.3 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 7
    • 0002530293 scopus 로고
    • Fuzzy logic synthesis with genetic algorithms
    • R.K. Belew and L.B. Booker, Eds, San Mateo, CA, USA, Morgan Kaufmann Publishers
    • P. Thrift, "Fuzzy logic synthesis with genetic algorithms," in Proc. 4th Int. Conf. on Genetic Algorithms, R.K. Belew and L.B. Booker, Eds., San Mateo, CA, USA, 1991, pp. 509-513, Morgan Kaufmann Publishers.
    • (1991) Proc. 4th Int. Conf. on Genetic Algorithms , pp. 509-513
    • Thrift, P.1
  • 8
    • 0003052380 scopus 로고
    • Genetic algorithms for fuzzy controllers
    • C.L. Karr, "Genetic algorithms for fuzzy controllers," AI Expert, vol. 6, no. 2, pp. 26-33, 1991.
    • (1991) AI Expert , vol.6 , Issue.2 , pp. 26-33
    • Karr, C.L.1
  • 9
    • 0001418767 scopus 로고
    • The fuzzy classifier system: A classifier system for continuously varying variables
    • San Mateo, CA, USA, Morgan Kaufmann Publishers
    • M. Valenzuela-Renddn, "The fuzzy classifier system: a classifier system for continuously varying variables," in Proc. 4th Int. Conf. on Genetic Algorithms, San Mateo, CA, USA, 1991, pp. 346-353, Morgan Kaufmann Publishers.
    • (1991) Proc. 4th Int. Conf. on Genetic Algorithms , pp. 346-353
    • Valenzuela-Renddn, M.1
  • 10
    • 0037597549 scopus 로고    scopus 로고
    • J. Casillas, O. Cordon, F. Herrera, and L. Magdalena, Eds, Springer, Heidelberg, Germany
    • J. Casillas, O. Cordon, F. Herrera, and L. Magdalena, Eds., Interpretability issues in fuzzy modeling, Springer, Heidelberg, Germany, 2003.
    • (2003) Interpretability issues in fuzzy modeling
  • 11
    • 3543069982 scopus 로고    scopus 로고
    • J. Casillas, O. Cordon, F. Herrera, and L. Magdalena, Eds, Springer, Heidelberg, Germany
    • J. Casillas, O. Cordon, F. Herrera, and L. Magdalena, Eds., Accuracy improvements in linguistic fuzzy modeling, Springer, Heidelberg, Germany, 2003.
    • (2003) Accuracy improvements in linguistic fuzzy modeling
  • 13
    • 0031988674 scopus 로고    scopus 로고
    • Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems
    • J.L. Castro, J.J. Castro-Schez, and J.M. Zurita, "Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems," Fuzzy Sets and Systems, vol. 101, no. 3, pp. 331-342, 1999.
    • (1999) Fuzzy Sets and Systems , vol.101 , Issue.3 , pp. 331-342
    • Castro, J.L.1    Castro-Schez, J.J.2    Zurita, J.M.3
  • 14
    • 0032069167 scopus 로고    scopus 로고
    • Completeness and consistency conditions for learning fuzzy rules
    • A. Gonzalez and R. Pérez, "Completeness and consistency conditions for learning fuzzy rules," Fuzzy Sets and Systems, vol. 96, no. 1, pp. 37-51, 1998.
    • (1998) Fuzzy Sets and Systems , vol.96 , Issue.1 , pp. 37-51
    • Gonzalez, A.1    Pérez, R.2
  • 15
    • 0033116171 scopus 로고    scopus 로고
    • SLAVE: A genetic learning system based on an iterative approach
    • A. Gonzalez and R. Pérez, "SLAVE: a genetic learning system based on an iterative approach," IEEE Trans. Fuzzy Systems, vol. 7, no. 2, pp. 176-191, 1999.
    • (1999) IEEE Trans. Fuzzy Systems , vol.7 , Issue.2 , pp. 176-191
    • Gonzalez, A.1    Pérez, R.2
  • 16
    • 0031271349 scopus 로고    scopus 로고
    • Adapting the gain of an FLC with genetic algorithms
    • L. Magdalena, "Adapting the gain of an FLC with genetic algorithms," Int. J. Approximate Reasoning, vol. 17, no. 4, pp. 327-349, 1997.
    • (1997) Int. J. Approximate Reasoning , vol.17 , Issue.4 , pp. 327-349
    • Magdalena, L.1
  • 17
    • 0033682717 scopus 로고    scopus 로고
    • Fuzzy modeling based on premise optimization
    • San Antonio, TX, USA
    • N. Xiong and L. Litz, "Fuzzy modeling based on premise optimization," in Proc. 9th IEEE Int. Conf. on Fuzzy Systems, San Antonio, TX, USA, 2000, pp. 859-864.
    • (2000) Proc. 9th IEEE Int. Conf. on Fuzzy Systems , pp. 859-864
    • Xiong, N.1    Litz, L.2
  • 19
    • 17644387146 scopus 로고    scopus 로고
    • Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm
    • J. Casillas, O. Cordon, I. Fernandez de Viana, and F. Herrera, "Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm," Int. J. Intelligent Systems, vol. 20, pp. 433-452, 2005.
    • (2005) Int. J. Intelligent Systems , vol.20 , pp. 433-452
    • Casillas, J.1    Cordon, O.2    Fernandez de Viana, I.3    Herrera, F.4
  • 20
    • 84871942517 scopus 로고    scopus 로고
    • Predictive knowledge discovery by multiobjective genetic fuzzy systems for estimating consumer behavior models
    • Barcelona, Spain
    • J. Casillas, O. Delgado, and F.J. Martinez-Löpez, "Predictive knowledge discovery by multiobjective genetic fuzzy systems for estimating consumer behavior models," in Proc. 4th Int. Conf. in Fuzzy Logic and Technology, Barcelona, Spain, 2005, pp. 272-278.
    • (2005) Proc. 4th Int. Conf. in Fuzzy Logic and Technology , pp. 272-278
    • Casillas, J.1    Delgado, O.2    Martinez-Löpez, F.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.