메뉴 건너뛰기




Volumn 38, Issue 6, 2008, Pages 1626-1638

Simultaneous structure identification and fuzzy rule generation for Takagi-Sugeno models

Author keywords

Feature modulators; Feature selection; Fuzzy rule extraction; Structure identification; Takagi Sugeno (TS) models

Indexed keywords

FEEDBACK CONTROL; FLOW INTERACTIONS; FUZZY LOGIC; FUZZY RULES; FUZZY SETS; MODAL ANALYSIS; STRUCTURE (COMPOSITION);

EID: 57049179077     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2006367     Document Type: Article
Times cited : (54)

References (44)
  • 1
    • 0030651072 scopus 로고    scopus 로고
    • Some issues in system identification using clustering
    • N. R. Pal, K. Pal, J. C. Bezdek, and T. Runkler, "Some issues in system identification using clustering," in Proc. ICNN, 1997, pp. 2524-2529.
    • (1997) Proc. ICNN , pp. 2524-2529
    • Pal, N.R.1    Pal, K.2    Bezdek, J.C.3    Runkler, T.4
  • 2
    • 0036601484 scopus 로고    scopus 로고
    • Fuzzy logic approaches to structure preserving dimensionality reduction
    • Jun
    • N. R. Pal, E. Vijay Kumar, and G. Mandal, "Fuzzy logic approaches to structure preserving dimensionality reduction," IEEE Trans. Fuzzy Syst., vol. 10, no. 3, pp. 277-286, Jun. 2002.
    • (2002) IEEE Trans. Fuzzy Syst , vol.10 , Issue.3 , pp. 277-286
    • Pal, N.R.1    Vijay Kumar, E.2    Mandal, G.3
  • 3
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • Feb
    • M. Sugeno and T. Yasukawa, "A fuzzy-logic-based approach to qualitative modeling," IEEE Trans. Fuzzy Syst., vol. 1, no. 1, pp. 7-31, Feb. 1993.
    • (1993) IEEE Trans. Fuzzy Syst , vol.1 , Issue.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 4
    • 0029358133 scopus 로고
    • Modeling and control of carbon monoxide concentration using a neurofuzzy technique
    • Aug
    • K. Tanaka, M. Sano, and H. Watanabe, "Modeling and control of carbon monoxide concentration using a neurofuzzy technique," IEEE Trans. Fuzzy Syst., vol. 3, no. 3, pp. 271-279, Aug. 1995.
    • (1995) IEEE Trans. Fuzzy Syst , vol.3 , Issue.3 , pp. 271-279
    • Tanaka, K.1    Sano, M.2    Watanabe, H.3
  • 5
    • 38249015529 scopus 로고
    • Construction of fuzzy inference rules by NDF and NDFL
    • Feb
    • I. Hayashi, H. Nomura, H. Yamasaki, and N. Wakami, "Construction of fuzzy inference rules by NDF and NDFL," Int. J. Approx. Reason., vol. 6, no. 2, pp. 241-266, Feb. 1992.
    • (1992) Int. J. Approx. Reason , vol.6 , Issue.2 , pp. 241-266
    • Hayashi, I.1    Nomura, H.2    Yamasaki, H.3    Wakami, N.4
  • 6
    • 0004683439 scopus 로고
    • Construction of fuzzy models through clustering techniques
    • Mar
    • Y. Yoshinari, W. Pedrycz, and K. Hirota, "Construction of fuzzy models through clustering techniques," Fuzzy Sets Syst., vol. 54, no. 2, pp. 157-166, Mar. 1993.
    • (1993) Fuzzy Sets Syst , vol.54 , Issue.2 , pp. 157-166
    • Yoshinari, Y.1    Pedrycz, W.2    Hirota, K.3
  • 7
    • 84974755191 scopus 로고
    • Generation of fuzzy rules by mountain clustering
    • R. R. Yager and D. P. Filev, "Generation of fuzzy rules by mountain clustering," J. Intell. Fuzzy Syst., vol. 2, no. 3, pp. 209-219, 1994.
    • (1994) J. Intell. Fuzzy Syst , vol.2 , Issue.3 , pp. 209-219
    • Yager, R.R.1    Filev, D.P.2
  • 8
    • 0009963722 scopus 로고
    • Extracting fuzzy rules for pattern classification by cluster estimation
    • S. L. Chiu, "Extracting fuzzy rules for pattern classification by cluster estimation," in Proc. IFSA, 1995, pp. 1-4.
    • (1995) Proc. IFSA , pp. 1-4
    • Chiu, S.L.1
  • 9
    • 21444441545 scopus 로고    scopus 로고
    • Selecting input variables for fuzzy models
    • S. L. Chiu, "Selecting input variables for fuzzy models," J. Intell. Fuzzy Syst., vol. 4, no. 4, pp. 243-256, 1996.
    • (1996) J. Intell. Fuzzy Syst , vol.4 , Issue.4 , pp. 243-256
    • Chiu, S.L.1
  • 10
    • 0033724579 scopus 로고    scopus 로고
    • Temperature prediction using fuzzy time series
    • Apr
    • S. M. Chen and J. R. Hwang, "Temperature prediction using fuzzy time series," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 30, no. 2, pp. 263-275, Apr. 2000.
    • (2000) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.30 , Issue.2 , pp. 263-275
    • Chen, S.M.1    Hwang, J.R.2
  • 11
    • 0010030689 scopus 로고
    • Application of compatible cluster merging to fuzzy modeling of multivariable systems
    • R. Babuska and U. Kaymak, "Application of compatible cluster merging to fuzzy modeling of multivariable systems," in Proc. EUFIT, 1995, pp. 565-569.
    • (1995) Proc. EUFIT , pp. 565-569
    • Babuska, R.1    Kaymak, U.2
  • 12
    • 0010031817 scopus 로고    scopus 로고
    • Methods for simplifications of fuzzy models
    • U. Kaymak, R. Babuska, and M. Setnes, "Methods for simplifications of fuzzy models," in Proc. NATO ASI, 1996, pp. 1-10.
    • (1996) Proc. NATO ASI , pp. 1-10
    • Kaymak, U.1    Babuska, R.2    Setnes, M.3
  • 13
    • 0029226150 scopus 로고
    • Fast clustering with application to fuzzy rule generation
    • T. W. Cheng, D. B. Goldgof, and L. O. Hall, "Fast clustering with application to fuzzy rule generation," in Proc. IEEE FUZZ, 1995, pp. 2289-2295.
    • (1995) Proc. IEEE FUZZ , pp. 2289-2295
    • Cheng, T.W.1    Goldgof, D.B.2    Hall, L.O.3
  • 14
    • 0030385717 scopus 로고    scopus 로고
    • Identification of nonlinear systems using regular fuzzy c-elliptotype clustering
    • T. A. Runkler and R. H. Palm, "Identification of nonlinear systems using regular fuzzy c-elliptotype clustering," in Proc. IEEE FUZZ 1996, pp. 1026-1030.
    • (1996) Proc. IEEE FUZZ , pp. 1026-1030
    • Runkler, T.A.1    Palm, R.H.2
  • 15
    • 0031146974 scopus 로고    scopus 로고
    • A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling
    • May
    • M. Delgado, A. F. Gomez-Skarmeta, and F. Martin, "A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling," IEEE Trans. Fuzzy Syst., vol. 5, no. 2, pp. 223-233, May 1997.
    • (1997) IEEE Trans. Fuzzy Syst , vol.5 , Issue.2 , pp. 223-233
    • Delgado, M.1    Gomez-Skarmeta, A.F.2    Martin, F.3
  • 16
    • 0026204245 scopus 로고
    • A validity measure for fuzzy clustering
    • Aug
    • X. L. Xie and G. A. Beni, "A validity measure for fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 8, pp. 841-846, Aug. 1991.
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell , vol.13 , Issue.8 , pp. 841-846
    • Xie, X.L.1    Beni, G.A.2
  • 17
    • 0024701488 scopus 로고
    • Unsupervised optimal fuzzy clustering
    • Jul
    • I. Gath and A. B. Geva, "Unsupervised optimal fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 7, pp. 773-781, Jul. 1989.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell , vol.11 , Issue.7 , pp. 773-781
    • Gath, I.1    Geva, A.B.2
  • 18
    • 84941531642 scopus 로고
    • A new approach to fuzzy-neural system modeling
    • May
    • Y. Lin and G. A. Cunningham, III, "A new approach to fuzzy-neural system modeling," IEEE Trans. Fuzzy Syst., vol. 3, no. 2, pp. 190-198, May 1995.
    • (1995) IEEE Trans. Fuzzy Syst , vol.3 , Issue.2 , pp. 190-198
    • Lin, Y.1    Cunningham III, G.A.2
  • 19
    • 33644994175 scopus 로고    scopus 로고
    • Ratio-based lengths of intervals to improve fuzzy time series forecasting
    • Apr
    • K. Huarng and H. K. Yu, "Ratio-based lengths of intervals to improve fuzzy time series forecasting," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 2, pp. 328-340, Apr. 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.36 , Issue.2 , pp. 328-340
    • Huarng, K.1    Yu, H.K.2
  • 20
    • 0345817328 scopus 로고    scopus 로고
    • Hierarchical fuzzy logic scheme with constraints on the fuzzy rule
    • M. G. Joo and J. S. Lee, "Hierarchical fuzzy logic scheme with constraints on the fuzzy rule," Int. J. Intell. Autom. Soft Comput. vol. 7, no. 4, pp. 259-271, 2001.
    • (2001) Int. J. Intell. Autom. Soft Comput , vol.7 , Issue.4 , pp. 259-271
    • Joo, M.G.1    Lee, J.S.2
  • 21
    • 0036721858 scopus 로고    scopus 로고
    • Universal approximation by hierarchical fuzzy system with constraints on the fuzzy rule
    • Sep
    • M. G. Joo and J. S. Lee, "Universal approximation by hierarchical fuzzy system with constraints on the fuzzy rule," Fuzzy Sets Syst., vol. 130, no. 2, pp. 175-188, Sep. 2002.
    • (2002) Fuzzy Sets Syst , vol.130 , Issue.2 , pp. 175-188
    • Joo, M.G.1    Lee, J.S.2
  • 22
    • 17644369993 scopus 로고    scopus 로고
    • A class of hierarchical fuzzy systems with constraints on the fuzzy rules
    • Apr
    • M. G. Joo and J. S. Lee, "A class of hierarchical fuzzy systems with constraints on the fuzzy rules," IEEE Trans. Fuzzy Syst., vol. 13, no. 2, pp. 194-203, Apr. 2005.
    • (2005) IEEE Trans. Fuzzy Syst , vol.13 , Issue.2 , pp. 194-203
    • Joo, M.G.1    Lee, J.S.2
  • 23
    • 34547132315 scopus 로고    scopus 로고
    • A multivariate heuristic model for fuzzy time-series forecasting
    • Aug
    • K. Huarng, H. K. Wu, and Y. W. Hsu, "A multivariate heuristic model for fuzzy time-series forecasting," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 4, pp. 836-846, Aug. 2007.
    • (2007) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.37 , Issue.4 , pp. 836-846
    • Huarng, K.1    Wu, H.K.2    Hsu, Y.W.3
  • 24
    • 0036684586 scopus 로고    scopus 로고
    • A new scheme for fuzzy rule-based system identification and its application to self-tuning fuzzy controllers
    • Aug
    • K. Pal, R. Mudi, and N. R. Pal, "A new scheme for fuzzy rule-based system identification and its application to self-tuning fuzzy controllers," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 4, pp. 470-482, Aug. 2002.
    • (2002) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.32 , Issue.4 , pp. 470-482
    • Pal, K.1    Mudi, R.2    Pal, N.R.3
  • 25
    • 3142697137 scopus 로고    scopus 로고
    • Rule extraction through exploratory data analysis for self-tuning fuzzy controllers
    • N. R. Pal, R. Mudi, K. Pal, and D. Patranabish, "Rule extraction through exploratory data analysis for self-tuning fuzzy controllers," Int. J. Fuzzy Syst., vol. 6, no. 2, pp. 71-80, 2004.
    • (2004) Int. J. Fuzzy Syst , vol.6 , Issue.2 , pp. 71-80
    • Pal, N.R.1    Mudi, R.2    Pal, K.3    Patranabish, D.4
  • 26
    • 1242263791 scopus 로고    scopus 로고
    • A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
    • Jan
    • D. Chakraborty and N. R. Pal, "A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification," IEEE Trans. Neural Netw., vol. 15, no. 1, pp. 110-123, Jan. 2004.
    • (2004) IEEE Trans. Neural Netw , vol.15 , Issue.1 , pp. 110-123
    • Chakraborty, D.1    Pal, N.R.2
  • 27
    • 0035359273 scopus 로고    scopus 로고
    • Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm
    • Jun
    • D. Chakraborty and N. R. Pal, "Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 31, no. 3, pp. 391-400, Jun. 2001.
    • (2001) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.31 , Issue.3 , pp. 391-400
    • Chakraborty, D.1    Pal, N.R.2
  • 28
    • 0001121401 scopus 로고    scopus 로고
    • A connectionist system for feature selection
    • N. R. Pal and K. K. Chintalapudi, "A connectionist system for feature selection," Neural Parallel Sci. Comput., vol. 5, no. 3, pp. 359-382, 1997.
    • (1997) Neural Parallel Sci. Comput , vol.5 , Issue.3 , pp. 359-382
    • Pal, N.R.1    Chintalapudi, K.K.2
  • 29
    • 50249090228 scopus 로고    scopus 로고
    • A fuzzy rule based approach to identify biomarkers for diagnostic classification of cancers
    • N. R. Pal, "A fuzzy rule based approach to identify biomarkers for diagnostic classification of cancers," in Proc. FUZZ-IEEE, 2007, pp. 1-6.
    • (2007) Proc. FUZZ-IEEE , pp. 1-6
    • Pal, N.R.1
  • 31
    • 0026253964 scopus 로고
    • Hierarchical fuzzy control
    • G. V. S. Raju, J. Zhou, and R. A. Kisner, "Hierarchical fuzzy control," Int. J. Control, vol. 54, no. 5, pp. 1201-1216, 1991.
    • (1991) Int. J. Control , vol.54 , Issue.5 , pp. 1201-1216
    • Raju, G.V.S.1    Zhou, J.2    Kisner, R.A.3
  • 32
    • 0027634631 scopus 로고
    • Adaptive hierarchical fuzzy controller
    • Jul./Aug
    • G. V. S. Raju and J. Zhou, "Adaptive hierarchical fuzzy controller," IEEE Trans. Syst., Man, Cybern., vol. 23, no. 4, pp. 973-980, Jul./Aug. 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern , vol.23 , Issue.4 , pp. 973-980
    • Raju, G.V.S.1    Zhou, J.2
  • 33
    • 0035359279 scopus 로고    scopus 로고
    • An efficient fuzzy classifier with feature selection based on fuzzy entropy
    • Jun
    • H.-M. Lee, C.-M. Chen, J.-M. Chen, and Y.-L. Jou, "An efficient fuzzy classifier with feature selection based on fuzzy entropy," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 31, no. 3, pp. 426-432, Jun. 2001.
    • (2001) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.31 , Issue.3 , pp. 426-432
    • Lee, H.-M.1    Chen, C.-M.2    Chen, J.-M.3    Jou, Y.-L.4
  • 34
    • 0033692031 scopus 로고    scopus 로고
    • A systematic approach to a self-generating fuzzy rule-table for function approximation
    • Jun
    • H. Pomares, I. Rojas, J. Ortega, J. Gonzalez, and A. Prieto, "A systematic approach to a self-generating fuzzy rule-table for function approximation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 30, no. 3, pp. 431-447, Jun. 2000.
    • (2000) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.30 , Issue.3 , pp. 431-447
    • Pomares, H.1    Rojas, I.2    Ortega, J.3    Gonzalez, J.4    Prieto, A.5
  • 35
    • 0036601481 scopus 로고    scopus 로고
    • Structure identification in complete rule-based fuzzy systems
    • Jun
    • H. Pomares, I. Rojas, J. Gonzalez, and A. Prieto, "Structure identification in complete rule-based fuzzy systems," IEEE Trans. Fuzzy Syst., vol. 10, no. 3, pp. 349-359, Jun. 2002.
    • (2002) IEEE Trans. Fuzzy Syst , vol.10 , Issue.3 , pp. 349-359
    • Pomares, H.1    Rojas, I.2    Gonzalez, J.3    Prieto, A.4
  • 36
    • 0034497444 scopus 로고    scopus 로고
    • Input features' impact on fuzzy decision processes
    • Dec
    • R. Silipo and M. R. Berthold, "Input features' impact on fuzzy decision processes," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 30, no. 6, pp. 821-834, Dec. 2000.
    • (2000) IEEE Trans. Syst., Man, Cybern. B, Cybern , vol.30 , Issue.6 , pp. 821-834
    • Silipo, R.1    Berthold, M.R.2
  • 37
    • 0033704546 scopus 로고    scopus 로고
    • Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
    • Apr
    • Y. Jin, "Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement," IEEE Trans. Fuzzy Syst. vol. 8, no. 2, pp. 212-221, Apr. 2000.
    • (2000) IEEE Trans. Fuzzy Syst , vol.8 , Issue.2 , pp. 212-221
    • Jin, Y.1
  • 38
    • 10444268889 scopus 로고    scopus 로고
    • A refined fuzzy time-series model for forecasting
    • Feb
    • H.-K. Yu, "A refined fuzzy time-series model for forecasting," Physica A, vol. 346, no. 3/4, pp. 657-681, Feb. 2005.
    • (2005) Physica A , vol.346 , Issue.3-4 , pp. 657-681
    • Yu, H.-K.1
  • 39
    • 57049093013 scopus 로고    scopus 로고
    • Taiwan Stock Exchange Corp, Online, Available
    • Taiwan Stock Exchange Corp., [Online]. Available: www.tse.com.tw/en/
  • 40
    • 0001073047 scopus 로고    scopus 로고
    • Forecasting enrollments based on fuzzy time series
    • Aug
    • S.-M. Chen, "Forecasting enrollments based on fuzzy time series," Fuzzy Sets Syst., vol. 81, no. 3, pp. 311-319, Aug. 1996.
    • (1996) Fuzzy Sets Syst , vol.81 , Issue.3 , pp. 311-319
    • Chen, S.-M.1
  • 41
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • B. N. Petrov and F. Csaki, Eds
    • H. Akaike, "Information theory and an extension of the maximum likelihood principle," in Proc. 2nd Int. Symp. Inf. Theory, B. N. Petrov and F. Csaki, Eds., 1973, pp. 267-281.
    • (1973) Proc. 2nd Int. Symp. Inf. Theory , pp. 267-281
    • Akaike, H.1
  • 42
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Dec
    • H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, vol. AC-19, no. 6, pp. 716-723, Dec. 1974.
    • (1974) IEEE Trans. Autom. Control , vol.AC-19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 43
    • 21144438166 scopus 로고
    • Likelihood of a model and information criteria
    • May
    • H. Akaike, "Likelihood of a model and information criteria," J. Econom., vol. 16, no. 1, pp. 3-14, May 1981.
    • (1981) J. Econom , vol.16 , Issue.1 , pp. 3-14
    • Akaike, H.1
  • 44
    • 0023255186 scopus 로고
    • Autoregressive process order selection via model-critical methods
    • Jan
    • A. S. Paulson and G. R. Swope, "Autoregressive process order selection via model-critical methods," IEEE J. Ocean. Eng., vol. OE-12, no. 1, pp. 75-79, Jan. 1987.
    • (1987) IEEE J. Ocean. Eng , vol.OE-12 , Issue.1 , pp. 75-79
    • Paulson, A.S.1    Swope, G.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.