메뉴 건너뛰기




Volumn 21, Issue 5, 2013, Pages 869-882

Conditional density estimation using probabilistic fuzzy systems

Author keywords

Additive reasoning; conditional density approximation; fuzzy partitioning; fuzzy set; probabilistic fuzzy system (PFS)

Indexed keywords

CONDITIONAL DENSITY; CONDITIONAL DENSITY FUNCTION; CONDITIONAL PROBABILITY DENSITY; DETERMINISTIC FUNCTIONS; FUZZY PARTITIONING; PROBABILISTIC FUZZY SYSTEMS; PROCESS UNDERSTANDING; STOCHASTIC UNCERTAINTIES;

EID: 84885594556     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2012.2235839     Document Type: Article
Times cited : (35)

References (53)
  • 5
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modelling and control
    • Jan./Feb
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modelling and control," IEEE Trans. Syst. Man Cybern., vol. SMC-15, no. 1, pp. 116-132, Jan./Feb. 1985
    • (1985) IEEE Trans. Syst. Man Cybern , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 6
    • 84885590093 scopus 로고    scopus 로고
    • Synergy, Autumn 2000 (newsletter of CoIL, the Computational Intelligence and Learning Cluster)
    • Soundbytes from CoIL 2000, Synergy, no. 3, pp. 10-11, Autumn 2000 (newsletter of CoIL, the Computational Intelligence and Learning Cluster)
    • (2000) Soundbytes from CoIL , Issue.3 , pp. 10-11
  • 7
    • 0028532753 scopus 로고
    • Fuzzy systems as universal approximators
    • Nov
    • B.Kosko, "Fuzzy systems as universal approximators," IEEE Trans. Comput., vol. 43, no. 11, pp. 1329-1333, Nov. 1994
    • (1994) IEEE Trans. Comput , vol.43 , Issue.11 , pp. 1329-1333
    • Kosko, B.1
  • 11
    • 84885632667 scopus 로고    scopus 로고
    • Toward a perception-based theory of probabilistic reasoning with imprecise probabilities
    • P. Grzegorzewski, O. Hryniewicz, and M. A. Gil, Eds. Heidelberg, Germany: Physica-Verlag
    • L. A. Zadeh, "Toward a perception-based theory of probabilistic reasoning with imprecise probabilities," in Proc. Soft Meth. Probabil. Statist. Data Anal., ser. Advances in Soft Computing, P. Grzegorzewski, O. Hryniewicz, and M. A. Gil, Eds. Heidelberg, Germany: Physica-Verlag, 2002, pp. 27-61
    • (2002) Proc. Soft Meth. Probabil. Statist. Data Anal., Ser. Advances in Soft Computing , pp. 27-61
    • Zadeh, L.A.1
  • 12
    • 0742329982 scopus 로고    scopus 로고
    • Quantitative possibility theory and its probabilistic connections
    • P. Grzegorzewski, O. Hryniewicz, andM.A.Gil, Eds. Heidelberg, Germany: Physica-Verlag
    • D. Dubois and H. Prade, "Quantitative possibility theory and its probabilistic connections," in Soft Methods in Probability, Statistics and Data Analysis (ser. Advances in Soft Computing), P. Grzegorzewski, O. Hryniewicz, andM.A.Gil, Eds. Heidelberg, Germany: Physica-Verlag, 2002, pp. 3-26
    • (2002) Soft Methods in Probability, Statistics and Data Analysis (Ser. Advances in Soft Computing) , pp. 3-26
    • Dubois, D.1    Prade, H.2
  • 15
    • 49949126152 scopus 로고
    • Probability measures of fuzzy events
    • L. A. Zadeh, "Probability measures of fuzzy events," J. Math. Anal. Appl., vol. 23, pp. 421-427, 1968
    • (1968) J. Math. Anal. Appl , vol.23 , pp. 421-427
    • Zadeh, L.A.1
  • 16
    • 84942928572 scopus 로고
    • Discussion: Probability theory and fuzzy logic are complementary rather than competitive
    • L. A. Zadeh, "Discussion: Probability theory and fuzzy logic are complementary rather than competitive," Technometrics, vol. 37, no. 3, pp. 271-276, 1995
    • (1995) Technometrics , vol.37 , Issue.3 , pp. 271-276
    • Zadeh, L.A.1
  • 17
    • 0036349093 scopus 로고    scopus 로고
    • Probabilistic fuzzy logic and probabilistic fuzzy systems
    • Melbourne, Vic., Australia Dec
    • A. H. Meghdadi andM.-R. Akbarzadeh-T., "Probabilistic fuzzy logic and probabilistic fuzzy systems," in Proc. 10th IEEE Int. Conf. Fuzzy Syst., Melbourne, Vic., Australia, Dec. 2001, pp. 1127-1130
    • (2001) Proc. 10th IEEE Int. Conf. Fuzzy Syst , pp. 1127-1130
    • Meghdadi, A.H.1    Akbarzadeh-T, M.-R.2
  • 18
    • 30344440822 scopus 로고    scopus 로고
    • A probabilistic fuzzy logic system for modeling and control
    • DOI 10.1109/TFUZZ.2005.859326
    • Z. Liu and H.-X. Li, "A probabilistic fuzzy logic system for modeling and control," IEEE Trans. Fuzzy Syst., vol. 13, no. 6, pp. 848-859, Dec. 2005 (Pubitemid 43065967)
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.6 , pp. 848-859
    • Liu, Z.1    Li, H.-X.2
  • 19
    • 71249138473 scopus 로고    scopus 로고
    • Probabilistic fuzzy logic system: A tool to process stochastic and imprecise information
    • Aug
    • Z. Liu and H.-X. Li, "Probabilistic fuzzy logic system: A tool to process stochastic and imprecise information," in Proc 18th Int. Conf. Fuzzy Syst., Aug. 2009, pp. 848-853
    • (2009) Proc 18th Int. Conf. Fuzzy Syst , pp. 848-853
    • Liu, Z.1    Li, H.-X.2
  • 20
    • 78751479771 scopus 로고    scopus 로고
    • A probabilistic fuzzy learning system for pattern classification
    • G. Zhang and H.-X. Li, "A probabilistic fuzzy learning system for pattern classification," in Proc. IEEE Int. Conf. Syst. Man Cybern., Oct. 2010, pp. 2336-2341
    • (2010) Proc IEEE Int. Conf. Syst. Man Cybern., Oct , pp. 2336-2341
    • Zhang, G.1    Li, H.-X.2
  • 21
    • 84867386135 scopus 로고    scopus 로고
    • An efficient configuration for probabilistic fuzzy logic system
    • Oct
    • G. Zhang and H.-X. Li, "An efficient configuration for probabilistic fuzzy logic system," IEEE Trans. Fuzzy Syst., vol. 20, no. 5, pp. 898-909, Oct. 2012
    • (2012) IEEE Trans. Fuzzy Syst , vol.20 , Issue.5 , pp. 898-909
    • Zhang, G.1    Li, H.-X.2
  • 23
    • 50549095617 scopus 로고    scopus 로고
    • A probabilistic neural-fuzzy learning system for stochastic modeling
    • Aug
    • H.-X. Li and Z. Liu, "A probabilistic neural-fuzzy learning system for stochastic modeling," IEEE Trans. Fuzzy Syst., vol. 16, no. 4, pp. 898-908, Aug. 2008
    • (2008) IEEE Trans. Fuzzy Syst , vol.16 , Issue.4 , pp. 898-908
    • Li, H.-X.1    Liu, Z.2
  • 24
    • 79751535747 scopus 로고    scopus 로고
    • A probabilistic fuzzy approach to modeling nonlinear systems
    • Feb
    • S. Hengjie, C. Miao, Z. Shen, W. Roel, M. D'Hondt, and C. Francky, "A probabilistic fuzzy approach to modeling nonlinear systems," Neurocomput., vol. 74, pp. 1008-1025, Feb. 2011
    • Neurocomput , vol.74 , Issue.2011 , pp. 1008-1025
    • Hengjie, S.1    Miao, C.2    Shen, Z.3    Roel, W.4    D'hondt, M.5    Francky, C.6
  • 25
    • 0041339769 scopus 로고    scopus 로고
    • Supervised fuzzy clustering for the identification of fuzzy classifiers
    • J. Abonyi and F. Szeifert, "Supervised fuzzy clustering for the identification of fuzzy classifiers," Pattern Recognit. Lett., vol. 24, pp. 2195-2207, 2001
    • (2001) Pattern Recognit. Lett , vol.24 , pp. 2195-2207
    • Abonyi, J.1    Szeifert, F.2
  • 26
    • 40549105812 scopus 로고    scopus 로고
    • Iterative fuzzy clustering algorithm with supervision to construct probabilistic fuzzy rule base from numerical data
    • DOI 10.1109/TFUZZ.2007.903314
    • H.-E. Lee, K.-H. Park, and Z. Bien, "Iterative fuzzy clustering algorithm with supervision to construct probabilistic fuzzy rule base from numerical data," IEEE Trans. Fuzzy Syst., vol. 16, no. 1, pp. 263-277, Feb. 2008 (Pubitemid 351359145)
    • (2008) IEEE Transactions on Fuzzy Systems , vol.16 , Issue.1 , pp. 263-277
    • Lee, H.-E.1    Park, K.-H.2    Bien, Z.Z.3
  • 27
    • 0036601876 scopus 로고    scopus 로고
    • Simulation of random fuzzy variables: An empirical approach to statistical/probabilistic studies with fuzzy experimental data
    • DOI 10.1109/TFUZZ.2002.1006441, PII S1063670602048233
    • A. Colubi, C. Fernandez-Garcia, andM. Gil, "Simulation of random fuzzy variables: An empirical approach to statistical/probabilistic studies with fuzzy experimental data," IEEE Trans. Fuzzy Syst., vol. 10, no. 3, pp. 384-390, Jun. 2002 (Pubitemid 34807727)
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.3 , pp. 384-390
    • Colubi, A.1    Fernandez-Garcia, C.2    Angeles Gil, M.3
  • 28
    • 0035546595 scopus 로고    scopus 로고
    • Application of the fuzzy-stochastic methodology to appraising the firm value as a European call option
    • DOI 10.1016/S0377-2217(01)00042-X, PII S037722170100042X
    • Z. Zme?skal, "Application of the fuzzy-stochastic methodology to appraising the firm value as a european call option," Eur. J. Operat. Res., vol. 135, no. 2, pp. 303-310, 2001 (Pubitemid 32842069)
    • (2001) European Journal of Operational Research , vol.135 , Issue.2 , pp. 303-310
    • Zmeskal, Z.1
  • 29
    • 67449146702 scopus 로고    scopus 로고
    • A new probabilistic fuzzy model: Fuzzification-maximization (FM) approach
    • Jul
    • S. Hong, H. Lee, and E. Kim, "A new probabilistic fuzzy model: Fuzzification-maximization (FM) approach," Int. J. Approx. Reas., vol. 50, pp. 1129-1147, Jul. 2009
    • (2009) Int. J. Approx. Reas , vol.50 , pp. 1129-1147
    • Hong, S.1    Lee, H.2    Kim, E.3
  • 30
    • 79956077098 scopus 로고    scopus 로고
    • The GARCH-fuzzy density method for density forecasting
    • T. Helin and H. Koivisto, "The GARCH-fuzzy density method for density forecasting," Appl. Soft Comput., vol. 11, no. 6, pp. 4212-4225, 2011
    • (2011) Appl. Soft Comput , vol.11 , Issue.6 , pp. 4212-4225
    • Helin, T.1    Koivisto, H.2
  • 31
    • 79551653988 scopus 로고    scopus 로고
    • Systems control with generalized probabilistic fuzzy-reinforcement learning
    • Feb
    • W. Hinojosa, S. Nefti, and U. Kaymak, "Systems control with generalized probabilistic fuzzy-reinforcement learning," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 51-64, Feb. 2011
    • (2011) IEEE Trans. Fuzzy Syst , vol.19 , Issue.1 , pp. 51-64
    • Hinojosa, W.1    Nefti, S.2    Kaymak, U.3
  • 34
    • 1142279665 scopus 로고    scopus 로고
    • Financial markets analysis by using a probabilistic fuzzy modelling approach
    • J. van den Berg, U. Kaymak, and W.-M. van den Bergh, "Financial markets analysis by using a probabilistic fuzzy modelling approach," Int. J. Approx. Reasoning, vol. 35, no. 3, pp. 291-305, 2004
    • (2004) Int. J. Approx. Reasoning , vol.35 , Issue.3 , pp. 291-305
    • Van Den Berg, J.1    Kaymak, U.2    Den Bergh, V.-M.W.3
  • 35
    • 78751477178 scopus 로고    scopus 로고
    • Probabilistic fuzzy systems in value-Atrisk estimation
    • R. Almeida and U. Kaymak, "Probabilistic fuzzy systems in value-Atrisk estimation," Intell. Syst. Account. Finance Manag., vol. 16, no. 1-2, pp. 49-70, 2009
    • (2009) Intell. Syst. Account. Finance Manag , vol.16 , Issue.1-2 , pp. 49-70
    • Almeida, R.1    Kaymak, U.2
  • 36
    • 55249101476 scopus 로고    scopus 로고
    • Value-At-risk estimation by using probabilistic fuzzy systems
    • Hong Kong Jun
    • D. Xu and U. Kaymak, "Value-At-risk estimation by using probabilistic fuzzy systems," in Proc. World Congr. Comput. Intell., Hong Kong, Jun. 2008, pp. 2109-2116
    • (2008) Proc. World Congr. Comput. Intell , pp. 2109-2116
    • Xu, D.1    Kaymak, U.2
  • 37
    • 67349247013 scopus 로고    scopus 로고
    • Intelligence in the brain: A theory of how it works and how to build it
    • P. J.Werbos, "Intelligence in the brain: A theory of how it works and how to build it," Neur. Netw., vol. 22, no. 3, pp. 200-212, 2009
    • (2009) Neur. Netw , vol.22 , Issue.3 , pp. 200-212
    • Werbos, P.J.1
  • 38
    • 84871884051 scopus 로고    scopus 로고
    • Towards intuitive understanding of the cauchy deviate method for processing interval and fuzzy uncertainty
    • Jul
    • V. Kreinovich and H. Nguyen, "Towards intuitive understanding of the cauchy deviate method for processing interval and fuzzy uncertainty," in Proc. IFSA World Congr./EUSFLAT Conf., Jul. 2009, pp. 2336-2341
    • (2009) Proc. IFSA World Congr./EUSFLAT Conf , pp. 2336-2341
    • Kreinovich, V.1    Nguyen, H.2
  • 39
    • 84885622932 scopus 로고    scopus 로고
    • Symmetries: A general approach to integrated uncertainty management
    • V.-N. Huynh, Y. Nakamori, J. Lawry, and M. Inuiguchi, Eds. Heidelberg/Berlin,Germany: Springer-Verlag
    • V. Kreinovich, H. Nguyen, and S. Sriboonchitta, "Symmetries: A general approach to integrated uncertainty management," in Integrated Uncertainty Management and Applications (ser.Advances in Intelligent and Soft Computing), V.-N. Huynh, Y. Nakamori, J. Lawry, and M. Inuiguchi, Eds. Heidelberg/Berlin,Germany: Springer-Verlag, 2010, vol. 68, pp. 141-152
    • (2010) Integrated Uncertainty Management and Applications (Ser.Advances in Intelligent and Soft Computing) , vol.68 , pp. 141-152
    • Kreinovich, V.1    Nguyen, H.2    Sriboonchitta, S.3
  • 40
    • 0014534297 scopus 로고
    • A new approach to clustering
    • E. H. Ruspini, "A new approach to clustering," Inf. Control, vol. 15, no. 1, pp. 22-32, 1969
    • (1969) Inf. Control , vol.15 , Issue.1 , pp. 22-32
    • Ruspini, E.H.1
  • 41
    • 0036346232 scopus 로고    scopus 로고
    • Probabilistic and statistical fuzzy set foundations of competitive exception learning
    • Vic., Australia Dec
    • J. van den Berg, W. M. van den Bergh, and U. Kaymak, "Probabilistic and statistical fuzzy set foundations of competitive exception learning," in Proc. 10th IEEE Int. Conf. Fuzzy Syst.,Melbourne, Vic., Australia, Dec. 2001, vol. 2, pp. 1035-1038
    • (2001) Proc. 10th IEEE Int. Conf. Fuzzy Syst.,Melbourne , vol.2 , pp. 1035-1038
    • Van Den Berg, J.1    Van Den Bergh, W.M.2    Kaymak, U.3
  • 42
    • 0020231129 scopus 로고
    • Strong law of large numbers for fuzzy random variables
    • DOI 10.1016/0020-0255(82)90049-4
    • R. Kruse, "The strong law of large numbers for fuzzy random variables," Inf. Sci., vol. 28, pp. 233-241, 1982 (Pubitemid 14455839)
    • (1982) Information sciences , vol.28 , Issue.3 , pp. 233-241
    • Kruse Rudolf1
  • 44
    • 0037523544 scopus 로고    scopus 로고
    • A fuzzy additive reasoning scheme for probabilistic Mamdani fuzzy systems
    • St. Louis, MO May
    • U. Kaymak,W.-M. van den Bergh, and J. van den Berg, "A fuzzy additive reasoning scheme for probabilistic Mamdani fuzzy systems," in Proc. IEEE Int. Conf. Fuzzy Syst., St. Louis, MO, May 2003, vol. 1, pp. 331-336
    • (2003) Proc IEEE Int. Conf. Fuzzy Syst , vol.1 , pp. 331-336
    • Kaymak, U.1    Van Den Bergh, W.-M.2    Van Den Berg, J.3
  • 47
  • 48
    • 23944475886 scopus 로고    scopus 로고
    • Maximum likelihood parameter estimation in probabilistic fuzzy classifiers
    • Proceedings of the IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2005
    • L. Waltman, U. Kaymak, and J. van den Berg, "Maximum likelihood parameter estimation in probabilistic fuzzy classifiers," in Proc. 14th IEEE Int. Conf. Fuzzy Syst., May 2005, pp. 1098-1103 (Pubitemid 41189659)
    • (2005) IEEE International Conference on Fuzzy Systems , pp. 1098-1103
    • Waltman, L.1    Kaymak, U.2    Van Den Berg, J.3
  • 50
    • 77955580236 scopus 로고    scopus 로고
    • Flexible modeling of conditional distributions using smooth mixtures of asymmetric student t densities
    • F. Li,M. Villani, and R. Kohn, "Flexible modeling of conditional distributions using smooth mixtures of asymmetric student t densities," J. Statist. Plann. Inf., vol. 140, no. 12, pp. 3638-3654, 2010
    • (2010) J. Statist. Plann. Inf , vol.140 , Issue.12 , pp. 3638-3654
    • Lim. Villani, F.1    Kohn, R.2
  • 51
    • 70349427041 scopus 로고    scopus 로고
    • Regression density estimation using smooth adaptive Gaussian mixtures
    • M. Villani, R. Kohn, and P. Giordani, "Regression density estimation using smooth adaptive Gaussian mixtures," J. Econometr., vol. 153, no. 2, pp. 155-173, 2009
    • (2009) J. Econometr , vol.153 , Issue.2 , pp. 155-173
    • Villani, M.1    Kohn, R.2    Giordani, P.3
  • 52
    • 0011836910 scopus 로고    scopus 로고
    • Range-based estimation of stochastic volatility models
    • S. Alizadeh, M. W. Brandt, and F. X. Diebold, "Range-based estimation of stochastic volatility models," J. Finance, vol. 57, no. 3, pp. 1047-1091, 06 2002 (Pubitemid 36932125)
    • (2002) Journal of Finance , vol.57 , Issue.3 , pp. 1047-1091
    • Alizadeh, S.1    Brandt, M.W.2    Diebold, F.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.