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Volumn 15, Issue 5, 2007, Pages 772-783

Fuzzy classification using pattern discovery

Author keywords

Decision support systems; Deductive databases; Fuzzy logic; Fuzzy systems; Pattern classification; Pattern clustering methods; Pattern matching; Statistical databases

Indexed keywords

CLUSTERING ALGORITHMS; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; FUZZY LOGIC; PATTERN MATCHING;

EID: 35348928130     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2006.889930     Document Type: Article
Times cited : (16)

References (67)
  • 1
    • 0016949867 scopus 로고
    • A fuzzy-algorithmic approach to the definition of complex or imprecise concepts
    • reprinted in [58
    • L. A. Zadeh, "A fuzzy-algorithmic approach to the definition of complex or imprecise concepts," Int. J. Man Mach. Stud., vol. 8, pp. 249-291, 1976, reprinted in [58].
    • (1976) Int. J. Man Mach. Stud , vol.8 , pp. 249-291
    • Zadeh, L.A.1
  • 2
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • L. A. Zadeh, "Fuzzy sets as a basis for a theory of possibility," Fuzzy Sets Syst., vol. 1, pp. 3-28, 1978.
    • (1978) Fuzzy Sets Syst , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 3
    • 0020843799 scopus 로고
    • The role of fuzzy logic in the management of uncertainty in expert systems
    • L. A. Zadeh, "The role of fuzzy logic in the management of uncertainty in expert systems," Fuzzy Sets Syst., vol. 11, pp. 199-227, 1983.
    • (1983) Fuzzy Sets Syst , vol.11 , pp. 199-227
    • Zadeh, L.A.1
  • 4
    • 0016368711 scopus 로고
    • Applications of fuzzy algorithms for simple dynamic plant
    • E. H. Mamdani, "Applications of fuzzy algorithms for simple dynamic plant," in Proc. Inst. Elect. Eng., 1974, vol. 121, pp. 1585-1588.
    • (1974) Proc. Inst. Elect. Eng , vol.121 , pp. 1585-1588
    • Mamdani, E.H.1
  • 7
    • 0035693284 scopus 로고    scopus 로고
    • Rule chaining in fuzzy expert systems
    • Dec
    • L. O. Hall, "Rule chaining in fuzzy expert systems," IEEE Trans. Fuzzy Syst., vol. 9, no. 6, pp. 822-828, Dec. 2001.
    • (2001) IEEE Trans. Fuzzy Syst , vol.9 , Issue.6 , pp. 822-828
    • Hall, L.O.1
  • 8
    • 0035693179 scopus 로고    scopus 로고
    • Appropriate choice of aggregation operators in fuzzy decision support systems
    • Dec
    • G. Beliakov and J. Warren, "Appropriate choice of aggregation operators in fuzzy decision support systems," IEEE Trans. Fuzzy Syst., vol. 9, no. 6, pp. 773-784, Dec. 2001.
    • (2001) IEEE Trans. Fuzzy Syst , vol.9 , Issue.6 , pp. 773-784
    • Beliakov, G.1    Warren, J.2
  • 9
    • 0036132613 scopus 로고    scopus 로고
    • Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
    • R. J. Hathaway and J. C. Bezdek, "Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm," Pattern Recog. Lett., vol. 23, pp. 151-160, 2002.
    • (2002) Pattern Recog. Lett , vol.23 , pp. 151-160
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 10
    • 0030198511 scopus 로고    scopus 로고
    • Sequential competitive learning and the fuzzy c-means clustering algorithms
    • N. R. Pal, J. C. Bezdek, and R. J. Hathaway, "Sequential competitive learning and the fuzzy c-means clustering algorithms," Neural Netw., vol. 9, no. 5, pp. 787-796, 1996.
    • (1996) Neural Netw , vol.9 , Issue.5 , pp. 787-796
    • Pal, N.R.1    Bezdek, J.C.2    Hathaway, R.J.3
  • 12
    • 0030214781 scopus 로고    scopus 로고
    • The possibilistic c-means algorithm: Insights and recommendations
    • Jun
    • R. Krishnapuram and J. M. Keller, "The possibilistic c-means algorithm: Insights and recommendations," IEEE Trans. Fuzzy Syst. vol. 4, no. 3, pp. 385-393, Jun. 1996.
    • (1996) IEEE Trans. Fuzzy Syst , vol.4 , Issue.3 , pp. 385-393
    • Krishnapuram, R.1    Keller, J.M.2
  • 13
    • 0027595430 scopus 로고
    • A possibilistic approach to clustering
    • Apr
    • R. Krishnapuram and J. M. Keller, "A possibilistic approach to clustering," IEEE Trans. Fuzzy Syst., vol. 1, no. 2, pp. 98-110, Apr. 1993.
    • (1993) IEEE Trans. Fuzzy Syst , vol.1 , Issue.2 , pp. 98-110
    • Krishnapuram, R.1    Keller, J.M.2
  • 14
    • 0033876069 scopus 로고    scopus 로고
    • Self-organized fuzzy system generation from training examples
    • Feb
    • I. Rojas, H. Pomares, J. Ortega, and A. Prieto, "Self-organized fuzzy system generation from training examples," IEEE Trans. Fuzzy Syst. vol. 8, no. 1, pp. 23-36, Feb. 2000.
    • (2000) IEEE Trans. Fuzzy Syst , vol.8 , Issue.1 , pp. 23-36
    • Rojas, I.1    Pomares, H.2    Ortega, J.3    Prieto, A.4
  • 15
    • 0027539801 scopus 로고
    • Self-organization for object extraction using a multilayer neural network and fuzziness measures
    • Feb
    • A. Ghosh, N. R. Pal, and S. K. Pal, "Self-organization for object extraction using a multilayer neural network and fuzziness measures," IEEE Trans. Fuzzy Syst., vol. 1, no. 1, pp. 54-68, Feb. 1993.
    • (1993) IEEE Trans. Fuzzy Syst , vol.1 , Issue.1 , pp. 54-68
    • Ghosh, A.1    Pal, N.R.2    Pal, S.K.3
  • 16
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in soft computing framework
    • May
    • S. Mitra and Y. Hayashi, "Neuro-fuzzy rule generation: Survey in soft computing framework," IEEE Trans. Neural Netw., vol. 11, no. 3, pp. 748-768, May 2000.
    • (2000) IEEE Trans. Neural Netw , vol.11 , Issue.3 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 17
    • 0030704018 scopus 로고    scopus 로고
    • Combining fuzzy knowledge and data for neuro-fuzzy modeling
    • A. Labbi and E. Gauthier, "Combining fuzzy knowledge and data for neuro-fuzzy modeling," J. Int. Syst., vol. 6, no. 4, 1997.
    • (1997) J. Int. Syst , vol.6 , Issue.4
    • Labbi, A.1    Gauthier, E.2
  • 18
    • 0003811440 scopus 로고    scopus 로고
    • Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
    • New York: Wiley-Interscience
    • S. K. Pal and S. Mitra. Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, ser. Wiley Series on Intelligent Systems. New York: Wiley-Interscience, 1999.
    • (1999) ser. Wiley Series on Intelligent Systems
    • Pal, S.K.1    Mitra, S.2
  • 24
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • D. Nauck and R. Kruse, "A neuro-fuzzy method to learn fuzzy classification rules from data," Fuzzy Sets Syst., vol. 89, no. 3, pp. 277-288, 1997.
    • (1997) Fuzzy Sets Syst , vol.89 , Issue.3 , pp. 277-288
    • Nauck, D.1    Kruse, R.2
  • 25
    • 4344642807 scopus 로고    scopus 로고
    • Learning hybrid neuro-fuzzy classifier models from data: To combine or not to combine?
    • B. Gabrys, "Learning hybrid neuro-fuzzy classifier models from data: To combine or not to combine?," Fuzzy Sets Syst., vol. 147, no. 1, pp. 39-56, 2004.
    • (2004) Fuzzy Sets Syst , vol.147 , Issue.1 , pp. 39-56
    • Gabrys, B.1
  • 26
    • 30344473621 scopus 로고    scopus 로고
    • NFI: A neuro-fuzzy inference method for transductive reasoning
    • Dec
    • Q. Song and N. K. Kasabov, "NFI: A neuro-fuzzy inference method for transductive reasoning," IEEE Trans. Fuzzy Syst., vol. 13, no. 6, pp. 799-808, Dec. 2005.
    • (2005) IEEE Trans. Fuzzy Syst , vol.13 , Issue.6 , pp. 799-808
    • Song, Q.1    Kasabov, N.K.2
  • 27
    • 0036902547 scopus 로고    scopus 로고
    • Self-adaptive neuro-fuzzy inference systems for classification applications
    • Dec
    • J.-S. Wang and C. S. G. Lee, "Self-adaptive neuro-fuzzy inference systems for classification applications," IEEE Trans. Fuzzy Syst. vol. 10, no. 6, pp. 790-802, Dec. 2002.
    • (2002) IEEE Trans. Fuzzy Syst , vol.10 , Issue.6 , pp. 790-802
    • Wang, J.-S.1    Lee, C.S.G.2
  • 28
    • 0043092358 scopus 로고    scopus 로고
    • Sparse data in the evolutionary generation of fuzzy models
    • D. Spiegel and T. Sudkamp, "Sparse data in the evolutionary generation of fuzzy models," Fuzzy Sets Syst., vol. 138, pp. 363-379, 2003.
    • (2003) Fuzzy Sets Syst , vol.138 , pp. 363-379
    • Spiegel, D.1    Sudkamp, T.2
  • 29
    • 0347411204 scopus 로고    scopus 로고
    • Combined boosting and evolutionary algorithms for learning of fuzzy classification rules
    • F. Hoffmann, "Combined boosting and evolutionary algorithms for learning of fuzzy classification rules," Fuzzy Sets Syst., vol. 141, pp. 47-58, 2004.
    • (2004) Fuzzy Sets Syst , vol.141 , pp. 47-58
    • Hoffmann, F.1
  • 30
    • 0031102109 scopus 로고    scopus 로고
    • Learning of fuzzy classification rules by a genetic algorithm
    • H. Ishibuchi and T. Murata, "Learning of fuzzy classification rules by a genetic algorithm," Electron. Commun. Jpn., vol. 80, no. 3, pp. 37-46, 1997.
    • (1997) Electron. Commun. Jpn , vol.80 , Issue.3 , pp. 37-46
    • Ishibuchi, H.1    Murata, T.2
  • 31
    • 0028482107 scopus 로고
    • Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
    • H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms," Fuzzy Sets Syst., vol. 65, no. 2/3, pp. 237-253, 1994.
    • (1994) Fuzzy Sets Syst , vol.65 , Issue.2-3 , pp. 237-253
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 33
    • 0002105846 scopus 로고    scopus 로고
    • Relational partitioning of fuzzy rules
    • R. R. Yager and D. P. Filev, "Relational partitioning of fuzzy rules," Fuzzy Sets Syst., vol. 80, pp. 57-69, 1996.
    • (1996) Fuzzy Sets Syst , vol.80 , pp. 57-69
    • Yager, R.R.1    Filev, D.P.2
  • 34
    • 0036346291 scopus 로고    scopus 로고
    • A histogram-based rule extraction technique for fuzzy systems
    • Melbourne, Australia: IEEE
    • A. Chong, T. D. Gedon, K. W. Wong, and L. T. Koczy, "A histogram-based rule extraction technique for fuzzy systems," in Proc. Fuzzy Systems FUZZ-IEEE'01. Melbourne, Australia: IEEE, 2001, pp. 638-641.
    • (2001) Proc. Fuzzy Systems FUZZ-IEEE'01 , pp. 638-641
    • Chong, A.1    Gedon, T.D.2    Wong, K.W.3    Koczy, L.T.4
  • 35
    • 0030289773 scopus 로고    scopus 로고
    • Induction of fuzzy rules and membership function from training examples
    • Nov
    • T.-P. Hong and C.-Y. Lee, "Induction of fuzzy rules and membership function from training examples," Fuzzy Sets Syst., vol. 84, pp. 33-47, Nov. 1996.
    • (1996) Fuzzy Sets Syst , vol.84 , pp. 33-47
    • Hong, T.-P.1    Lee, C.-Y.2
  • 36
    • 0035501962 scopus 로고    scopus 로고
    • A new approach to fuzzy rule generation: Fuzzy extension matrix
    • X. Z. Wang, Y. D. Wang, X. F. Xu, W. D. Ling, and D. S. Yeung, "A new approach to fuzzy rule generation: Fuzzy extension matrix," Fuzzy Sets Syst., vol. 123, pp. 291-306, 2001.
    • (2001) Fuzzy Sets Syst , vol.123 , pp. 291-306
    • Wang, X.Z.1    Wang, Y.D.2    Xu, X.F.3    Ling, W.D.4    Yeung, D.S.5
  • 37
    • 0346639153 scopus 로고    scopus 로고
    • Rapid development of knowledge-based systems via integrated knowledge acquisition
    • H. Xing, S. H. Huang, and J. Shi, "Rapid development of knowledge-based systems via integrated knowledge acquisition," Artif. Intell. Eng. Design, Anal. Manuf., vol. 17, pp. 221-234, 2003.
    • (2003) Artif. Intell. Eng. Design, Anal. Manuf , vol.17 , pp. 221-234
    • Xing, H.1    Huang, S.H.2    Shi, J.3
  • 39
    • 0000786695 scopus 로고    scopus 로고
    • Learning first-order definitions of functions
    • J. R. Quinlan, "Learning first-order definitions of functions," J. Artif. Intell. Res., vol. 5, pp. 139-161, 1996.
    • (1996) J. Artif. Intell. Res , vol.5 , pp. 139-161
    • Quinlan, J.R.1
  • 40
    • 0036833247 scopus 로고    scopus 로고
    • A rough-fuzzy approach for generating classification rules
    • Q. Shen and A. Chouchoulas, "A rough-fuzzy approach for generating classification rules," Pattern Recog., vol. 35, pp. 2425-2438, 2002.
    • (2002) Pattern Recog , vol.35 , pp. 2425-2438
    • Shen, Q.1    Chouchoulas, A.2
  • 41
    • 0036454113 scopus 로고    scopus 로고
    • Statistical evidence for rough set analysis
    • Honolulu, Hawaii: IEEE
    • S. Tsumoto, "Statistical evidence for rough set analysis," in Proc. Fuzzy Systems FUZZ-IEEE'02. Honolulu, Hawaii: IEEE, 2002, pp. 757-762.
    • (2002) Proc. Fuzzy Systems FUZZ-IEEE'02 , pp. 757-762
    • Tsumoto, S.1
  • 42
    • 0036454107 scopus 로고    scopus 로고
    • Acquisition of hierarchy-structured probabalistic decision tables and rules from data
    • Honolulu, Hawaii: IEEE
    • W. Ziarko, "Acquisition of hierarchy-structured probabalistic decision tables and rules from data," in Proc. Fuzzy Systems FUZZ-IEEE'02. Honolulu, Hawaii: IEEE, 2002, pp. 779-784.
    • (2002) Proc. Fuzzy Systems FUZZ-IEEE'02 , pp. 779-784
    • Ziarko, W.1
  • 44
    • 4344594491 scopus 로고    scopus 로고
    • Design of adaptive Takagi-Sugeno-Kang fuzzy models
    • D. Kukolj, "Design of adaptive Takagi-Sugeno-Kang fuzzy models," Appl. Soft Comput., vol. 2, pp. 89-103, 2002.
    • (2002) Appl. Soft Comput , vol.2 , pp. 89-103
    • Kukolj, D.1
  • 45
    • 0035897967 scopus 로고    scopus 로고
    • A new scheme for an automatic generation of multi-variable fuzzy systems
    • L. Chen, N. Tokuda, X. Zhang, and Y. He, "A new scheme for an automatic generation of multi-variable fuzzy systems," Fuzzy Sets Syst., vol. 120, pp. 323-329, 2001.
    • (2001) Fuzzy Sets Syst , vol.120 , pp. 323-329
    • Chen, L.1    Tokuda, N.2    Zhang, X.3    He, Y.4
  • 46
    • 0036955365 scopus 로고    scopus 로고
    • Establishing interpretable fuzzy models from numeric data
    • Jun
    • M.-Y. Chen, "Establishing interpretable fuzzy models from numeric data," in Proc. 4th World Congr. Intell. Control Automat., Jun. 2002, vol. 3, pp. 1857-1861.
    • (2002) Proc. 4th World Congr. Intell. Control Automat , vol.3 , pp. 1857-1861
    • Chen, M.-Y.1
  • 48
    • 0031274088 scopus 로고    scopus 로고
    • High-order pattern discovery from discrete-valued data
    • Nov.-Dec
    • A. K. C. Wong and Y. Wang, "High-order pattern discovery from discrete-valued data," IEEE Trans. Knowledge Data Eng., vol. 9, no. 6, pp. 877-893, Nov.-Dec. 1997.
    • (1997) IEEE Trans. Knowledge Data Eng , vol.9 , Issue.6 , pp. 877-893
    • Wong, A.K.C.1    Wang, Y.2
  • 49
    • 0037319582 scopus 로고    scopus 로고
    • Pattern discovery: A data driven approach to decision support
    • Feb
    • A. K. C. Wong and Y. Wang, "Pattern discovery: A data driven approach to decision support," IEEE Trans. Syst., Man, Cybern. C, vol. 33, no. 1, pp. 114-124, Feb. 2003.
    • (2003) IEEE Trans. Syst., Man, Cybern. C , vol.33 , Issue.1 , pp. 114-124
    • Wong, A.K.C.1    Wang, Y.2
  • 50
    • 0037957011 scopus 로고    scopus 로고
    • From association to classification: Inference using weight of evidence
    • May-Jun
    • Y. Wang and A. K. C. Wong, "From association to classification: Inference using weight of evidence," IEEE Trans. Knowledge Data Eng. vol. 15, no. 3, pp. 764-767, May-Jun. 2003.
    • (2003) IEEE Trans. Knowledge Data Eng , vol.15 , Issue.3 , pp. 764-767
    • Wang, Y.1    Wong, A.K.C.2
  • 51
    • 33745963766 scopus 로고    scopus 로고
    • Comparing 'pattern discovery' and back-propagation classifiers
    • Montréal, QC, Canada, Jul, IEEE/INNS
    • A. Hamilton-Wright and D. W. Stashuk, "Comparing 'pattern discovery' and back-propagation classifiers," in Proc. Int. Joint Conf. Neural Networks (IJCNN), Montréal, QC, Canada, Jul. 2005, vol. 2, pp. 1286-1291, IEEE/INNS.
    • (2005) Proc. Int. Joint Conf. Neural Networks (IJCNN) , vol.2 , pp. 1286-1291
    • Hamilton-Wright, A.1    Stashuk, D.W.2
  • 52
    • 0035306422 scopus 로고    scopus 로고
    • Marginal maximum entropy partitioning yields asymptotically consistent probability density functions
    • Apr
    • T. Chau, "Marginal maximum entropy partitioning yields asymptotically consistent probability density functions," IEEE Trans. Pattern Anal. Machine Intell., vol. 23, no. 4, pp. 414-417, Apr. 2001.
    • (2001) IEEE Trans. Pattern Anal. Machine Intell , vol.23 , Issue.4 , pp. 414-417
    • Chau, T.1
  • 53
    • 3442902605 scopus 로고    scopus 로고
    • On joint and conditional entropies
    • D. V. Gokhale, "On joint and conditional entropies," Entropy, vol. 1, no. 2, pp. 21-24, 1999.
    • (1999) Entropy , vol.1 , Issue.2 , pp. 21-24
    • Gokhale, D.V.1
  • 54
    • 0002547839 scopus 로고
    • The analysis of residuals in cross-classified tables
    • Mar
    • S. J. Haberman, "The analysis of residuals in cross-classified tables," Biomet., vol. 29, no. 1, pp. 205-220, Mar. 1973.
    • (1973) Biomet , vol.29 , Issue.1 , pp. 205-220
    • Haberman, S.J.1
  • 55
    • 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
  • 56
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling
    • Jan
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its application to modeling," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, no. 1, pp. 116-132, Jan. 1985.
    • (1985) IEEE Trans. Syst., Man, Cybern , vol.SMC-15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 57
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • M. Sugeno and G. T. Kang, "Structure identification of fuzzy model," Fuzzy Sets Syst., vol. 28, pp. 15-33, 1988.
    • (1988) Fuzzy Sets Syst , vol.28 , pp. 15-33
    • Sugeno, M.1    Kang, G.T.2
  • 58
    • 0003826349 scopus 로고
    • R. R. Yager, S. Ovchinnikov, R. M. Tong, and H. T. Nguyen, Eds, New York: Wiley
    • R. R. Yager, S. Ovchinnikov, R. M. Tong, and H. T. Nguyen, Eds., Fuzzy Sets and Applications: Selected Papers by L.A. Zadeh. New York: Wiley, 1987.
    • (1987) Fuzzy Sets and Applications: Selected Papers by L.A. Zadeh
  • 63
    • 33746369441 scopus 로고    scopus 로고
    • Transparent decision support using statistical reasoning and fuzzy inference
    • Aug
    • A. Hamilton-Wright and D. W. Stashuk, "Transparent decision support using statistical reasoning and fuzzy inference," IEEE Trans. Knowledge Data Eng., vol. 18, no. 8, pp. 1125-1137, Aug. 2007.
    • (2007) IEEE Trans. Knowledge Data Eng , vol.18 , Issue.8 , pp. 1125-1137
    • Hamilton-Wright, A.1    Stashuk, D.W.2


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