메뉴 건너뛰기




Volumn 220, Issue , 2008, Pages 377-395

Pattern classification with linguistic rules

Author keywords

[No Author keywords available]

Indexed keywords


EID: 35649008317     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-73723-0_19     Document Type: Article
Times cited : (8)

References (63)
  • 1
    • 0029242750 scopus 로고
    • A method for fuzzy rule extraction directly from numerical data and its application to pattern classification
    • Abe S, Lan MS (1995) A method for fuzzy rule extraction directly from numerical data and its application to pattern classification. IEEE Trans. on Fuzzy Systems 3: 18-28.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , pp. 18-28
    • Abe, S.1    Lan, M.S.2
  • 2
    • 0031209094 scopus 로고    scopus 로고
    • A fuzzy classifier with ellipsoidal regions
    • Abe S, Thawonmas R (1997) A fuzzy classifier with ellipsoidal regions. IEEE Trans. on Fuzzy Systems 5: 358-368.
    • (1997) IEEE Trans. on Fuzzy Systems , vol.5 , pp. 358-368
    • Abe, S.1    Thawonmas, R.2
  • 3
    • 0036435523 scopus 로고    scopus 로고
    • Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
    • Abonyi J, Roubos JA, Szeifert F (2003) Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization. International Journal of Approximate Reasoning 32: 1-21.
    • (2003) International Journal of Approximate Reasoning , vol.32 , pp. 1-21
    • Abonyi, J.1    Roubos, J.A.2    Szeifert, F.3
  • 5
    • 0036683734 scopus 로고    scopus 로고
    • COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
    • Casillas J, Cordon O, Herrera F (2002) COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics 32: 526-537.
    • (2002) IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics , vol.32 , pp. 526-537
    • Casillas, J.1    Cordon, O.2    Herrera, F.3
  • 6
    • 0037597549 scopus 로고    scopus 로고
    • Casillas J, Cordon O, Herrera F, Magdalena L eds, Springer, Berlin Heidelberg New York
    • Casillas J, Cordon O, Herrera F, Magdalena L (eds) (2003) Interpretability issues in fuzzy modeling. Springer, Berlin Heidelberg New York.
    • (2003) Interpretability issues in fuzzy modeling
  • 7
    • 3543069982 scopus 로고    scopus 로고
    • Casillas J, Cordon O, Herrera F, Magdalena L eds, Springer, Berlin Heidelberg New York
    • Casillas J, Cordon O, Herrera F, Magdalena L (eds) (2003) Accuracy improvements in linguistic fuzzy modeling. Springer, Berlin Heidelberg New York.
    • (2003) Accuracy improvements in linguistic fuzzy modeling
  • 8
    • 14644430392 scopus 로고    scopus 로고
    • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
    • Casillas J, Cordon O, del Jesus MJ, Herrera F (2005) Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans. on Fuzzy Systems 13: 13-29.
    • (2005) IEEE Trans. on Fuzzy Systems , vol.13 , pp. 13-29
    • Casillas, J.1    Cordon, O.2    del Jesus, M.J.3    Herrera, F.4
  • 9
    • 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 R (2001) Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm. Fuzzy Sets and Systems 120: 309-321.
    • (2001) Fuzzy Sets and Systems , vol.120 , pp. 309-321
    • Castillo, L.1    Gonzalez, A.2    Perez, R.3
  • 10
    • 1242263791 scopus 로고    scopus 로고
    • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
    • Chakraborty D, Pal NR (2004) A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. IEEE Trans. on Neural Networks 15: 110-123.
    • (2004) IEEE Trans. on Neural Networks , vol.15 , pp. 110-123
    • Chakraborty, D.1    Pal, N.R.2
  • 12
    • 0034207436 scopus 로고    scopus 로고
    • A proposal for improving the accuracy of linguistic modeling
    • Cordon O, Herrera F (2001) A proposal for improving the accuracy of linguistic modeling. IEEE Trans. on Fuzzy Systems 8: 335-344.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.8 , pp. 335-344
    • Cordon, O.1    Herrera, F.2
  • 14
    • 0036475811 scopus 로고    scopus 로고
    • Linguistic modeling by hierarchical systems of linguistic rules
    • Cordon O, Herrera F, Zwir I (2002) Linguistic modeling by hierarchical systems of linguistic rules. IEEE Trans. on Fuzzy Systems 10: 2-20.
    • (2002) IEEE Trans. on Fuzzy Systems , vol.10 , pp. 2-20
    • Cordon, O.1    Herrera, F.2    Zwir, I.3
  • 16
    • 0033317446 scopus 로고    scopus 로고
    • MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach
    • Cordon O, del Jesus MJ, Herrera F, Lozano M (1999) MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach. International Journal of Intelligent Systems 14: 1123-1153.
    • (1999) International Journal of Intelligent Systems , vol.14 , pp. 1123-1153
    • Cordon, O.1    del Jesus, M.J.2    Herrera, F.3    Lozano, M.4
  • 17
    • 0033116171 scopus 로고    scopus 로고
    • SLAVE: A genetic learning system based on an iterative approach
    • Gonzalez A, Perez R (1999) SLAVE: A genetic learning system based on an iterative approach. IEEE Trans. on Fuzzy Systems 7: 176-191.
    • (1999) IEEE Trans. on Fuzzy Systems , vol.7 , pp. 176-191
    • Gonzalez, A.1    Perez, R.2
  • 18
    • 0035360372 scopus 로고    scopus 로고
    • Designing fuzzy inference systems from data: An interpretability-oriented review
    • Guillaume S (2001) Designing fuzzy inference systems from data: An interpretability-oriented review. IEEE Trans. on Fuzzy Systems 9: 426-443.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , pp. 426-443
    • Guillaume, S.1
  • 20
    • 0000938740 scopus 로고    scopus 로고
    • A learning process for fuzzy control rules using genetic algorithms
    • Herrera F, Lozano M, Verdegay JL (1998) A learning process for fuzzy control rules using genetic algorithms. Fuzzy Sets and Systems 100: 143-158.
    • (1998) Fuzzy Sets and Systems , vol.100 , pp. 143-158
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3
  • 21
    • 0007911636 scopus 로고
    • Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
    • Homaifar A, McCormick E (1995) Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms. IEEE Trans. on Fuzzy Systems 3: 129-139.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , pp. 129-139
    • Homaifar, A.1    McCormick, E.2
  • 23
    • 0026923902 scopus 로고
    • On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
    • Horikawa S, Furuhashi T, Uchikawa Y (1992) On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm. IEEE Trans. on Neural Networks 3: 801-806.
    • (1992) IEEE Trans. on Neural Networks , vol.3 , pp. 801-806
    • Horikawa, S.1    Furuhashi, T.2    Uchikawa, Y.3
  • 25
    • 0037230859 scopus 로고    scopus 로고
    • Finding fuzzy classification rules using data mining techniques
    • Hu YC, Chen RS, Tzeng GH (2003) Finding fuzzy classification rules using data mining techniques. Pattern Recognition Letters 24: 509-519.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 509-519
    • Hu, Y.C.1    Chen, R.S.2    Tzeng, G.H.3
  • 26
    • 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 IB (1997) Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems 89: 135-150.
    • (1997) Fuzzy Sets and Systems , vol.89 , pp. 135-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 27
    • 0033329971 scopus 로고    scopus 로고
    • Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes
    • Ishibuchi H, Nakashima T (1999) Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attributes. IEEE Trans. on Industrial Electronics 46: 157-168.
    • (1999) IEEE Trans. on Industrial Electronics , vol.46 , pp. 157-168
    • Ishibuchi, H.1    Nakashima, T.2
  • 28
    • 0035415473 scopus 로고    scopus 로고
    • Effect of rule weights in fuzzy rule-based classification systems
    • Ishibuchi H, Nakashima T (2001) Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans. on Fuzzy Systems 9: 506-515.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , pp. 506-515
    • Ishibuchi, H.1    Nakashima, T.2
  • 29
    • 0000719509 scopus 로고    scopus 로고
    • Voting in fuzzy rule-based systems for pattern classification problems
    • Ishibuchi H, Nakashima T,Morisawa T (1999) Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets and Systems 103: 223-238.
    • (1999) Fuzzy Sets and Systems , vol.103 , pp. 223-238
    • Ishibuchi, H.1    Nakashima, T.2    Morisawa, T.3
  • 31
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • Ishibuchi H, Nakashima T,Murata T (2001) Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences 136: 109-133.
    • (2001) Information Sciences , vol.136 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 33
    • 40449084392 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
    • in press
    • Ishibuchi H, Nojima Y (2006) Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal of Approximate Reasoning (in press).
    • (2006) International Journal of Approximate Reasoning
    • Ishibuchi, H.1    Nojima, Y.2
  • 34
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classification
    • Ishibuchi H, Nozaki K, Tanaka H (1992) Distributed representation of fuzzy rules and its application to pattern classification. Fuzzy Sets and Systems 52: 21-32.
    • (1992) Fuzzy Sets and Systems , vol.52 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 35
    • 0028482107 scopus 로고
    • Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
    • Ishibuchi H, Nozaki K, Yamamoto N, Tanaka H (1994) Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms. Fuzzy Sets and Systems 65: 237-253.
    • (1994) Fuzzy Sets and Systems , vol.65 , pp. 237-253
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 36
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • Ishibuchi H, Nozaki K, Yamamoto N, Tanaka H (1995) Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans. on Fuzzy Systems 3: 260-270.
    • (1995) IEEE Trans. on Fuzzy Systems , vol.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 37
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • Ishibuchi H, Yamamoto T (2004) Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems 141: 59-88.
    • (2004) Fuzzy Sets and Systems , vol.141 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 39
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification Systems
    • Ishibuchi H, Yamamoto T (2005) Rule weight specification in fuzzy rule-based classification Systems. IEEE Trans. on Fuzzy Systems 13: 428-435.
    • (2005) IEEE Trans. on Fuzzy Systems , vol.13 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 41
    • 0033704546 scopus 로고    scopus 로고
    • Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
    • Jin Y (2000) Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement. IEEE Trans. on Fuzzy Systems 8: 212-221.
    • (2000) IEEE Trans. on Fuzzy Systems , vol.8 , pp. 212-221
    • Jin, Y.1
  • 42
    • 34250779169 scopus 로고    scopus 로고
    • Jin Y ed, Springer, Berlin Heidelberg New York
    • Jin Y (ed) (2006) Multi-objective machine learning. Springer, Berlin Heidelberg New York.
    • (2006) Multi-objective machine learning
  • 46
    • 0026366218 scopus 로고
    • Neural-network-based fuzzy logic control and decision system
    • Lin CT, Lee CSG (1991) Neural-network-based fuzzy logic control and decision system. IEEE Trans. on Computers 40: 1320-1336.
    • (1991) IEEE Trans. on Computers , vol.40 , pp. 1320-1336
    • Lin, C.T.1    Lee, C.S.G.2
  • 48
    • 0016368711 scopus 로고
    • Applications of fuzzy algorithms for simple dynamic plant
    • Mamdani EH (1974) Applications of fuzzy algorithms for simple dynamic plant. Proceedings of IEE 121: 1585-1588.
    • (1974) Proceedings of IEE , vol.121 , pp. 1585-1588
    • Mamdani, E.H.1
  • 49
    • 11244318202 scopus 로고    scopus 로고
    • Interpretability issues in data-based learning of fuzzy systems
    • Mikut R, Jakel J, Groll L (2005) Interpretability issues in data-based learning of fuzzy systems. Fuzzy Sets and Systems 150: 179-197.
    • (2005) Fuzzy Sets and Systems , vol.150 , pp. 179-197
    • Mikut, R.1    Jakel, J.2    Groll, L.3
  • 50
    • 0036880603 scopus 로고    scopus 로고
    • Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: Generation and evaluation
    • IEEE Trans. on Systems, Man, and Cybernetics, Part C
    • Mitra S, Konwar KM, Pal SK (2002) Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: Generation and evaluation. IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews 32: 328-339.
    • (2002) Applications and Reviews , vol.32 , pp. 328-339
    • Mitra, S.1    Konwar, K.M.2    Pal, S.K.3
  • 51
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • Nauck D, Kruse R (1997) A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy Sets and Systems 89: 277-288.
    • (1997) Fuzzy Sets and Systems , vol.89 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 52
    • 0032960792 scopus 로고    scopus 로고
    • Obtaining interpretable fuzzy classification rules from medical data
    • Nauck D, Kruse R (1999) Obtaining interpretable fuzzy classification rules from medical data. Artificial Intelligence in Medicine 16: 149-169.
    • (1999) Artificial Intelligence in Medicine , vol.16 , pp. 149-169
    • Nauck, D.1    Kruse, R.2
  • 54
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • Nozaki K, Ishibuchi H, Tanaka H (1997) A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy Sets and Systems 86: 251-270.
    • (1997) Fuzzy Sets and Systems , vol.86 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 55
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • Roubos H, Setnes M (2001) Compact and transparent fuzzy models and classifiers through iterative complexity reduction. IEEE Trans. on Fuzzy Systems 9: 516-524.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , pp. 516-524
    • Roubos, H.1    Setnes, M.2
  • 57
    • 0034294243 scopus 로고    scopus 로고
    • GA-fuzzy modeling and classification: Complexity and performance
    • Setnes M, Roubos H (2000) GA-fuzzy modeling and classification: Complexity and performance. IEEE Trans. on Fuzzy Systems 8: 509-522.
    • (2000) IEEE Trans. on Fuzzy Systems , vol.8 , pp. 509-522
    • Setnes, M.1    Roubos, H.2
  • 58
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • Sugeno M, Yasukawa T (1993) A fuzzy-logic-based approach to qualitative modeling. IEEE Trans. on Fuzzy Systems 1: 7-31.
    • (1993) IEEE Trans. on Fuzzy Systems , vol.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 59
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. on Systems, Man, and Cybernetics 15: 116-132.
    • (1985) IEEE Trans. on Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 60
    • 18544378721 scopus 로고    scopus 로고
    • Agent-based evolutionary approach for interpretable rule-based knowledge extraction
    • IEEE Trans. on Systems, Man, and Cybernetics, Part C
    • Wang H, Kwong S, Jin Y, Wei W, Man KF (2005) Agent-based evolutionary approach for interpretable rule-based knowledge extraction. IEEE Trans. on Systems, Man, and Cybernetics - Part C: Applications and Reviews 35: 143-155.
    • (2005) Applications and Reviews , vol.35 , pp. 143-155
    • Wang, H.1    Kwong, S.2    Jin, Y.3    Wei, W.4    Man, K.F.5
  • 61
    • 9644257194 scopus 로고    scopus 로고
    • Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction
    • Wang H, Kwong S, Jin Y, Wei W, Man KF (2005) Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems 149: 149-186.
    • (2005) Fuzzy Sets and Systems , vol.149 , pp. 149-186
    • Wang, H.1    Kwong, S.2    Jin, Y.3    Wei, W.4    Man, K.F.5
  • 63
    • 0000868331 scopus 로고
    • Induction of fuzzy decision trees
    • Yuan Y, Shaw MJ (1995) Induction of fuzzy decision trees. Fuzzy Sets and Systems 69: 125-139.
    • (1995) Fuzzy Sets and Systems , vol.69 , pp. 125-139
    • Yuan, Y.1    Shaw, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.