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Volumn 19, Issue 1, 2011, Pages 91-104

Multivariable gaussian evolving fuzzy modeling system

Author keywords

Adaptive fuzzy rule based modeling; evolving fuzzy systems (eFS); participatory learning (PL)

Indexed keywords

ADAPTIVE FUZZY MODELING; CLASSIC MODELS; EVOLVING FUZZY SYSTEMS; FIXED STRUCTURE; FUZZY MODELING; FUZZY MODELING SYSTEMS; FUZZY MODELS; FUZZY RULE-BASED SYSTEMS; GAUSSIAN MEMBERSHIP FUNCTION; GAUSSIANS; INPUT VARIABLES; MULTI VARIABLES; NON-LINEAR SYSTEM IDENTIFICATION; PARTICIPATORY LEARNING; RECURSIVE LEAST SQUARES ALGORITHMS; RULE BASE; RULE BASED; TAKAGI-SUGENO; TIME SERIES FORECASTING;

EID: 79551619179     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2010.2087381     Document Type: Article
Times cited : (166)

References (45)
  • 1
    • 0016451032 scopus 로고
    • An experimenti in linguistic synthesis with a fuzzy logic controller
    • E. H. Mamdani and S. Assilian, " An experimenti in linguistic synthesis with a fuzzy logic controller," Int. J. Man-Mach. Stud., vol. 7, no. 1, pp. 1-13, 1975.
    • (1975) Int. J. Man-Mach. Stud. , vol.7 , Issue.1 , pp. 1-13
    • Mamdani, E.H.1    Assilian, S.2
  • 2
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • May/Jun.
    • J.-S. Jang. (1993, May/Jun.). ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybern. [Online]. 23(3), pp. 665- 685. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm? arnumber=256541.
    • (1993) IEEE Trans. Syst. Man Cybern. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.-S.1
  • 3
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • S. L. Chiu, "Fuzzy model identification based on cluster estimation J. Intell. Fuzzy Syst., vol. 2, pp. 267-278, 1994.
    • (1994) J. Intell. Fuzzy Syst. , vol.2 , pp. 267-278
    • Chiu, S.L.1
  • 4
    • 0028482884 scopus 로고
    • Approximate clustering via themountain method
    • Aug.
    • R.Yager andD. Filev. (1994, Aug.). Approximate clustering via themountain method, IEEE Trans. Syst. Man Cybern. [Online]. 24(8), pp. 1279- 1284. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm? arnumber=299710.
    • (1994) IEEE Trans. Syst. Man Cybern. , vol.24 , Issue.8 , pp. 1279-1284
    • Yager, R.1    Filev, D.2
  • 7
    • 0030980294 scopus 로고    scopus 로고
    • A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules
    • P. Angelov and R. Guthke. (1997). A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules, Bioprocess Eng. [Online]. 16(5), pp. 299-303. Available: http://www.springerlink.com/ index/10.1007/s004490050326.
    • (1997) Bioprocess Eng. , vol.16 , Issue.5 , pp. 299-303
    • Angelov, P.1    Guthke, R.2
  • 9
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • Nov./ Dec.
    • L.-X. Wang and J. Mendel. (1992, Nov./Dec.). Generating fuzzy rules by learning from examples, IEEE Trans. Syst. Man Cybern. [Online]. 22(6), pp. 1414-1427. Available: http://ieeexplore.ieee.org/lpdocs/ epic03/wrapper.htm? arnumber=199466.
    • (1992) IEEE Trans. Syst. Man Cybern. , vol.22 , Issue.6 , pp. 1414-1427
    • Wang, L.-X.1    Mendel, J.2
  • 10
    • 58149500793 scopus 로고    scopus 로고
    • Guest editorial evolving fuzzy systems-Preface to the special section
    • Dec.
    • P. Angelov, D. Filev, and N. Kasabov. (2008, Dec.). Guest editorial evolving fuzzy systems-Preface to the special section, IEEE Trans. Fuzzy Syst. [Online]. 16(6), pp. 1390-1392.Available: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm?arnumber=4712536.
    • (2008) IEEE Trans. Fuzzy Syst. , vol.16 , Issue.6 , pp. 1390-1392
    • Angelov, P.1    Filev, D.2    Kasabov, N.3
  • 11
    • 34250694932 scopus 로고    scopus 로고
    • Evolving intelligent systems: Methods, learning, & applications
    • DOI 10.1109/ISEFS.2006.251185, 4016749, Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06
    • N. Kasabov and D. Filev. (2006, Sep.). Evolving intelligent systems: Methods, learning, applications, in Proc. 2006 Int. Symp. Evolving Fuzzy Syst., pp. 8-18, [Online]. Available: http://ieeexplore.ieee. org/lpdocs/epic03/ wrapper.htm?arnumber=4016749. (Pubitemid 46948083)
    • (2006) Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06 , pp. 8-18
    • Kasabov, N.1    Filev, D.2
  • 14
    • 0004092085 scopus 로고    scopus 로고
    • Englewood Cliffs, NJ: Prentice-Hall
    • L. Ljung, System Identification. Englewood Cliffs, NJ: Prentice-Hall, 1999.
    • (1999) System Identification
    • Ljung, L.1
  • 15
    • 0742272554 scopus 로고    scopus 로고
    • An approach to online identification of Takagi-Sugeno fuzzy models
    • Feb.
    • P. Angelov and D. Filev. (2004, Feb.). An approach to online identification of Takagi-Sugeno fuzzy models, IEEE Trans. Syst. Man Cybern. B (Cybern.) [Online]. 34(1), pp. 484-498. Available: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm?arnumber=1262519.
    • (2004) IEEE Trans. Syst. Man Cybern. B (Cybern.) , vol.34 , Issue.1 , pp. 484-498
    • Angelov, P.1    Filev, D.2
  • 16
    • 23944495345 scopus 로고    scopus 로고
    • Simpl-ets: Asimplified method for learning evolving takagi-sugeno fuzzy models
    • P. Angelov and D. Filev. (2005). Simpl-ets: A s implified method for learning evolving takagi-sugeno fuzzy models, in Proc. 14th IEEE Int. Conf. Fuzzy Syst. 2005, pp. 1068-1073, [Online]. Available: http:// ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1452543.
    • (2005) Proc. 14th IEEE Int. Conf. Fuzzy Syst. 2005 , pp. 1068-1073
    • Angelov, P.1    Filev, D.2
  • 17
    • 0036530967 scopus 로고    scopus 로고
    • Denfis: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
    • Apr.
    • N. K. Kasabov and Q. Song, " Denfis: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction," IEEE Trans. Fuzzy Syst., vol. 10, no. 2, pp. 144-154, Apr. 2002.
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.2 , pp. 144-154
    • Kasabov, N.K.1    Song, Q.2
  • 18
    • 0031999146 scopus 로고    scopus 로고
    • An online self-constructing neural fuzzy inference network and its applications
    • Feb.
    • C. F. Juang and C. T. Lin, " An online self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Syst., vol. 6, no. 1, pp. 12-32, Feb. 1999.
    • (1999) IEEE Trans. Fuzzy Syst. , vol.6 , Issue.1 , pp. 12-32
    • Juang, C.F.1    Lin, C.T.2
  • 19
    • 55249122198 scopus 로고    scopus 로고
    • Flexfis: A robust incremental learning approach for evolving Takagi-Sugeno fuzzy models
    • Dec.
    • E. D. Lughofer. (2008, Dec.). Flexfis: A robust incremental learning approach for evolving Takagi-Sugeno fuzzy models, IEEE Trans. Fuzzy Syst. [Online]. 16(6), pp. 1393-1410.Available: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm?arnumber=4529084.
    • (2008) IEEE Trans. Fuzzy Syst. , vol.16 , Issue.6 , pp. 1393-1410
    • Lughofer, E.D.1
  • 20
    • 0021412027 scopus 로고
    • Vector quantization
    • Apr.
    • R. M. Gray, "Vector quantization," IEEE ASSP Mag., vol. 1, no. 2, pp. 4- 29, Apr. 1984.
    • (1984) IEEE ASSP Mag. , vol.1 , Issue.2 , pp. 4-29
    • Gray, R.M.1
  • 21
    • 35448950018 scopus 로고    scopus 로고
    • Extensions of vector quantization for incremental clustering
    • Mar.
    • E. D. Lughofer. (2008, Mar.). Extensions of vector quantization for incremental clustering, Pattern Recognit. [Online]. 41(3), pp. 995-1011. Available: http://linkinghub.elsevier.com/retrieve/pii/S0031320307003354.
    • (2008) Pattern Recognit. , vol.41 , Issue.3 , pp. 995-1011
    • Lughofer, E.D.1
  • 22
    • 72649095852 scopus 로고    scopus 로고
    • Sofmls: Online self-organizing fuzzy modified least-squares network
    • Dec.
    • J. D. J. Rubio. (2009, Dec.). Sofmls: Online self-organizing fuzzy modified least-squares network, IEEE Trans. Fuzzy Syst. [Online]. 17(6), pp. 1296-1309.Available: http://ieeexplore.ieee.org/lpdocs/epic03/ wrapper.htm?arnumber=5196829
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , Issue.6 , pp. 1296-1309
    • Rubio, J.D.J.1
  • 23
    • 33645070541 scopus 로고    scopus 로고
    • Sequential adaptive fuzzy inference system (safis) for nonlinear system identification and prediction
    • May
    • H. Rong, N. Sundararajan, G. Huang, and P. Saratchandran. (2006, May). Sequential adaptive fu zzy inference system (safis) for nonlinear system identification and prediction, Fuzzy Sets Syst. [Online]. 157(9), pp. 1260-1275. Available: http://linkinghub.elsevier.com/ retrieve/pii/S0165011405006020.
    • (2006) Fuzzy Sets Syst. , vol.157 , Issue.9 , pp. 1260-1275
    • Rong, H.1    Sundararajan, N.2    Huang, G.3    Saratchandran, P.4
  • 24
    • 11244351634 scopus 로고    scopus 로고
    • An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
    • G. Leng, T. M. McGinnity, and G. Prasad, " An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network," Fuzzy Sets Syst., vol. 150, no. 2, pp. 211-243, 2005.
    • (2005) Fuzzy Sets Syst. , vol.150 , Issue.2 , pp. 211-243
    • Leng, G.1    McGinnity, T.M.2    Prasad, G.3
  • 25
    • 58149524918 scopus 로고    scopus 로고
    • Evolving fuzzy-rule-based classifiers from data streams
    • Dec.
    • P. P. Angelov and X. Zhou. (2008, Dec.). Evolving fuzzy-rule-based classifiers from data streams, IEEE Trans. Fuzzy Syst., [Online]. 16(6), pp. 1462-1475.Available: http://ieeexplore.ieee.org/lpdocs/epic03/ wrapper.htm?arnumber=4529082.
    • (2008) IEEE Trans. Fuzzy Syst. , vol.16 , Issue.6 , pp. 1462-1475
    • Angelov, P.P.1    Zhou, X.2
  • 26
    • 84889353324 scopus 로고    scopus 로고
    • Algorithms for real-time clustering generation of rules from data
    • J. V. d. Oliveira and W. Pedrycz, Eds. New York: Wiley
    • D. Filev and P. Angelov, " Algorithms for real-time clustering generation of rules from data," in Advances in Fuzzy Clustering and its Applications. J. V. d. Oliveira and W. Pedrycz, Eds. New York: Wiley, 2007.
    • (2007) Advances in Fuzzy Clustering and Its Applications
    • Filev, D.1    Angelov, P.2
  • 28
    • 78751625859 scopus 로고    scopus 로고
    • Evolving fuzzy modeling using participatory learning
    • P. Angelov, D. Filev, and N. Kasabov, Eds. New York/Piscataway, NJ: Wiley-Interscience/ IEEE Press
    • E. Lima, M. Hell, R. Ballini, and F. Gomide, " Evolving fuzzy modeling using participatory learning," in Evolving Intelligent Systems: Methodology and Applications. P. Angelov, D. Filev, and N. Kasabov, Eds. New York/Piscataway, NJ: Wiley-Interscience/IEEE Press, 2010.
    • (2010) Evolving Intelligent Systems: Methodology and Applications
    • Lima, E.1    Hell, M.2    Ballini, R.3    Gomide, F.4
  • 29
    • 0025491490 scopus 로고
    • A model of participatory learning
    • Sep./ Oct.
    • R. Yager. (1990, Sep./Oct.). A model of participatory learning, IEEE Trans. Syst. Man Cybern. [Online]. 20(5), pp. 1229-1234. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=59986.
    • (1990) IEEE Trans. Syst. Man Cybern. , vol.20 , Issue.5 , pp. 1229-1234
    • Yager, R.1
  • 30
    • 23944478170 scopus 로고    scopus 로고
    • Participatory learning in fuzzy clustering
    • L. Silva, F. Gomide, and R. Yager. (2005). Participatory learning in fuzzy clustering, in Proc. IEEE 14th Int. Conf. Fuzzy Syst. 2005, pp. 857-861, [Online]. Available: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm? arnumber=1452506.
    • (2005) Proc. IEEE 14th Int. Conf. Fuzzy Syst. 2005 , pp. 857-861
    • Silva, L.1    Gomide, F.2    Yager, R.3
  • 33
    • 0026294023 scopus 로고
    • A critical overview of neural network pattern classifiers
    • R. Lippmann. (1991). A critical overview of neural network pattern classifiers, in Proc. IEEE Workshop Neural Netw. Signal Process., 1991, pp. 266-275, [Online]. Available: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper. htm?arnumber=239515.
    • (1991) Proc. IEEE Workshop Neural Netw. Signal Process , vol.1991 , pp. 266-275
    • Lippmann, R.1
  • 34
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
    • Sep.
    • L.-X. Wang and J. Mendel. (1992, Sep.). Fuzzy basis functions, universal approximation, and orthogonal least-squares learning, IEEE Trans. Neural Netw. [Online]. 3(5), pp. 807-814. Available: http://ieeexplore.ieee.org/lpdocs/ epic03/wrapper.htm?arnumber=159070.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.5 , pp. 807-814
    • Wang, L.-X.1    Mendel, J.2
  • 35
    • 0002023706 scopus 로고    scopus 로고
    • Fuzzy rule-basedmodeling as universal approximation tool
    • H. Nguyen and M. Sugeno, Eds. Boston, MA: Kluwer
    • V. Kreinovich,G.Mouzouris, and H. Nguyen, "Fuzz y rule-basedmodeling as universal approximation tool," in Fuzzy Systems: Modeling and Control, H. Nguyen and M. Sugeno, Eds. Boston, MA: Kluwer, 1998, pp. 135-195.
    • (1998) Fuzzy Systems: Modeling and Control , pp. 135-195
    • Kreinovich, V.1    Mouzouris, G.2    Nguyen, H.3
  • 36
    • 0032203243 scopus 로고    scopus 로고
    • A transformed input-domain approach to fuzzy modeling
    • Nov.
    • E. Kim, M. Park, S. Kim, and M. Park, " A transformed input-domain approach to fuzzy modeling," IEEE Trans. Fuzzy Syst., vol. 6, no. 4, pp. 596-604, Nov. 1998.
    • (1998) IEEE Trans. Fuzzy Syst. , vol.6 , Issue.4 , pp. 596-604
    • Kim, E.1    Park, M.2    Kim, S.3    Park, M.4
  • 37
    • 0036791593 scopus 로고    scopus 로고
    • Modified gathgeva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
    • Oct.
    • J. Abonyi, R. Babuska, and F. Szeife rt. (2002, Oct.). Modified gathgeva fuzzy clustering for identification of Takagi-Sugeno fuzzy models, IEEE Trans. Syst. Man Cybern. B (Cybern.). [Online]. 32(5), pp. 612- 621. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm? arnumber=1033180.
    • (2002) IEEE Trans. Syst. Man Cybern. B (Cybern.) , vol.32 , Issue.5 , pp. 612-621
    • Abonyi, J.1    Babuska, R.2    Szeifert, F.3
  • 38
    • 34250747874 scopus 로고    scopus 로고
    • Extending the participatory learning paradigm to include source credibility
    • Jun.
    • R. R.Yager. (2007, Jun.). Extending the participatory learning paradigm to include source credibility, Fuzzy Optim. Decis. Making. 6(2), pp. 85-97. [Online]. Available: http://www.springerlink.com/index/10.1007/s10700- 007-9007-9.
    • (2007) Fuzzy Optim. Decis. Making , vol.6 , Issue.2 , pp. 85-97
    • Yager, R.R.1
  • 41
    • 34247532567 scopus 로고    scopus 로고
    • Evolving fuzzy systems from data streams in real-time
    • Sep.
    • P. Angelov and X. Zhou. (2006, Sep.). Evolving fuzzy systems from data streams in real-time, in Proc. IEEE 2006 Int. Symp. Evolving Fuzzy Syst., pp. 29-35, [Online]. Available: http://ieeexplore. ieee.org/lpdocs/epic03/wrapper. htm?arnumber=4016721.
    • (2006) Proc. IEEE 2006 Int. Symp. Evolving Fuzzy Syst. , pp. 29-35
    • Angelov, P.1    Zhou, X.2
  • 42
    • 0027590291 scopus 로고
    • A generalized knowledgebased short-term load-forecasting technique
    • May
    • S. Rahman and O. Hazim. (1993, May). A generalized knowledgebased short-term load-forecasting technique, IEEE Trans. Power Syst., [Online]. 8(2), pp. 508-514. Avail able: http://ieeexplore.ieee.org/ lpdocs/epic03/wrapper.htm? arnumber=260833.
    • (1993) IEEE Trans. Power Syst. , vol.8 , Issue.2 , pp. 508-514
    • Rahman, S.1    Hazim, O.2
  • 45
    • 0017714604 scopus 로고
    • Oscillation and chaos in physiological control systems
    • M. C. Mackey and L. Glass, " Oscillation and chaos in physiological control systems," Science, vol. 197, no. 2, pp. 287-289, 1977.
    • (1977) Science , vol.197 , Issue.2 , pp. 287-289
    • MacKey, M.C.1    Glass, L.2


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