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Volumn 16, Issue 5, 2012, Pages 845-861

Extending information processing in a Fuzzy Random Forest ensemble

Author keywords

Classification; Ensemble; Fuzzy Random Forest; Imperfect data

Indexed keywords

CLASSIFICATION TECHNIQUE; DATA SETS; ENSEMBLE; FUZZY RANDOM; FUZZY RANDOM FOREST; IMPERFECT DATA; IMPERFECT INFORMATION; PROBABILISTIC UNCERTAINTY; REAL SITUATION;

EID: 84859509879     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-011-0777-1     Document Type: Article
Times cited : (29)

References (30)
  • 1
    • 34547187749 scopus 로고    scopus 로고
    • Classification by ensembles from random partitions of high dimensional data
    • Ahn H, Moon H, Fazzari J, Lim N, Chen J, Kodell R (2007) Classification by ensembles from random partitions of high dimensional data. Comput Stat Data Anal 51: 6166-6179.
    • (2007) Comput Stat Data Anal , vol.51 , pp. 6166-6179
    • Ahn, H.1    Moon, H.2    Fazzari, J.3    Lim, N.4    Chen, J.5    Kodell, R.6
  • 2
    • 36948999941 scopus 로고    scopus 로고
    • Irvine, CA, University of California, School of Information and Computer Science
    • Asuncion A, Newman DJ (2007) UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA. http://www. ics. uci. edu/mlearn/MLRepository. html.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 3
    • 80053078658 scopus 로고    scopus 로고
    • Approximate reasoning systems:Handling uncertainty and imprecision in information systems
    • Kluwer Academic Publishers, Dordrecht, In:Motro, A, Smets, Ph (eds)
    • Bonissone PP (1997) Approximate reasoning systems: handling uncertainty and imprecision in information systems. In: Motro, A, Smets, Ph (eds) Uncertainty management in information systems: from needs to solutions. Kluwer Academic Publishers, Dordrecht, pp 369-395.
    • (1997) Uncertainty management in information systems:From needs to solutions , pp. 369-395
    • Bonissone, P.P.1
  • 5
    • 34250747864 scopus 로고    scopus 로고
    • Knowledge extraction from data fuzzy for estimating consumer behavior models
    • Vancouver BC Canada
    • Casillas J, Sánchez L (2006) Knowledge extraction from data fuzzy for estimating consumer behavior models. In: Proceedings of IEEE conference on Fuzzy Systems, Vancouver, BC, Canada, pp 164-170.
    • (2006) Proceedings of IEEE conference on Fuzzy Systems , pp. 164-170
    • Casillas, J.1    Sánchez, L.2
  • 7
    • 0003678399 scopus 로고
    • Possibility theory:An approach to computerized processing of uncertainty
    • Dubois D, Prade H (1988) Possibility theory: an approach to computerized processing of uncertainty. Plenum Press, New York.
    • (1988) Plenum Press New York
    • Dubois, D.1    Prade, H.2
  • 8
    • 78951477607 scopus 로고    scopus 로고
    • Risk-informed decision-making in the presence of epistemic uncertainty
    • Dubois D, Guyonnet D (2011) Risk-informed decision-making in the presence of epistemic uncertainty. Int J Gen Syst 40(2): 145-167.
    • (2011) Int J Gen Syst , vol.40 , Issue.2 , pp. 145-167
    • Dubois, D.1    Guyonnet, D.2
  • 10
    • 60849127572 scopus 로고    scopus 로고
    • Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
    • Fernández A, del Jesus MJ, Herrera F (2009) Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets. Int J Approx Reason 50 (3): 561-577.
    • (2009) Int J Approx Reason , vol.50 , Issue.3 , pp. 561-577
    • Fernández, A.1    del Jesus, M.J.2    Herrera, F.3
  • 11
    • 64549120231 scopus 로고    scopus 로고
    • A study statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
    • García S, Fernández A, Luengo J, Herrera F (2009) A study statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput 13(10): 959-977.
    • (2009) Soft Comput , vol.13 , Issue.10 , pp. 959-977
    • García, S.1    Fernández, A.2    Luengo, J.3    Herrera, F.4
  • 12
    • 77953916654 scopus 로고    scopus 로고
    • A classification and regression technique to handle heterogeneous and imperfect information
    • Garrido MC, Cadenas JM, Bonissone PP (2010) A classification and regression technique to handle heterogeneous and imperfect information. Soft Comput 14(11): 1165-1185.
    • (2010) Soft Comput , vol.14 , Issue.11 , pp. 1165-1185
    • Garrido, M.C.1    Cadenas, J.M.2    Bonissone, P.P.3
  • 14
    • 0030409030 scopus 로고    scopus 로고
    • Exemplar learning in fuzzy decision trees
    • New Orleans USA
    • Janikow CZ (1996) Exemplar learning in fuzzy decision trees. In: Proceedings of the FUZZ-IEEE, New Orleans, USA, pp 1500-1505.
    • (1996) Proceedings of the FUZZ-IEEE , pp. 1500-1505
    • Janikow, C.Z.1
  • 15
    • 0031996838 scopus 로고    scopus 로고
    • Fuzzy decision trees: issues and methods
    • Janikow CZ (1998) Fuzzy decision trees: issues and methods. IEEE Trans Man Syst Cybern 28: 1-14.
    • (1998) IEEE Trans Man Syst Cybern , vol.28 , pp. 1-14
    • Janikow, C.Z.1
  • 19
    • 0029184523 scopus 로고
    • Fuzzy multi-layer perceptron, inferencing and rule generation
    • Mitra S, Pal SK (1995) Fuzzy multi-layer perceptron, inferencing and rule generation. IEEE Trans Neural Netw 6(1): 51-63.
    • (1995) IEEE Trans Neural Netw , vol.6 , Issue.1 , pp. 51-63
    • Mitra, S.1    Pal, S.K.2
  • 20
    • 0000551189 scopus 로고    scopus 로고
    • Popular ensemble methods: an empirical study
    • Opitz D, Maclin R (1999) Popular ensemble methods: an empirical study. J Artif Intell 11: 169-198.
    • (1999) J Artif Intell , vol.11 , pp. 169-198
    • Opitz, D.1    Maclin, R.2
  • 22
    • 79955562255 scopus 로고    scopus 로고
    • Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets
    • Palacios AM, Sánchez L, Couso I (2009) Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets. Evol Intell 2: 73-84.
    • (2009) Evol Intell , vol.2 , pp. 73-84
    • Palacios, A.M.1    Sánchez, L.2    Couso, I.3
  • 23
    • 78650820723 scopus 로고    scopus 로고
    • Diagnosis of dyslexia with low quality data with genetic fuzzy systems
    • Palacios AM, Sánchez L, Couso I (2010) Diagnosis of dyslexia with low quality data with genetic fuzzy systems. Int J Approx Reason 51: 993-1009.
    • (2010) Int J Approx Reason , vol.51 , pp. 993-1009
    • Palacios, A.M.1    Sánchez, L.2    Couso, I.3
  • 24
    • 79955570365 scopus 로고    scopus 로고
    • Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data
    • Palacios AM, Sánchez L, Couso I (2011) Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data. Int J Approx Reason 52: 841-862.
    • (2011) Int J Approx Reason , vol.52 , pp. 841-862
    • Palacios, A.M.1    Sánchez, L.2    Couso, I.3
  • 27
    • 0242452710 scopus 로고    scopus 로고
    • Probabilistic inference from arbitrary uncertainty using mixtures of factorized generalized Gaussians
    • Ruiz A, López de Teruel PE, Garrido MC (1998) Probabilistic inference from arbitrary uncertainty using mixtures of factorized generalized Gaussians. J Artif Intell Res 9: 167-217.
    • (1998) J Artif Intell Res , vol.9 , pp. 167-217
    • Ruiz, A.1    Lópezde Teruel, P.E.2    Garrido, M.C.3
  • 28
    • 55649095515 scopus 로고    scopus 로고
    • Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data
    • Sánchez L, Suárez MR, Villar JR, Couso I (2008) Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data. Int J Approx Reason 49(3): 607-622.
    • (2008) Int J Approx Reason , vol.49 , Issue.3 , pp. 607-622
    • Sánchez, L.1    Suárez, M.R.2    Villar, J.R.3    Couso, I.4
  • 29
    • 58049213924 scopus 로고    scopus 로고
    • Genetic learning of fuzzy rules based on low quality data
    • Sánchez L, Couso I, Casillas J (2009) Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets Syst 160: 2524-2552.
    • (2009) Fuzzy Sets Syst , vol.160 , pp. 2524-2552
    • Sánchez, L.1    Couso, I.2    Casillas, J.3
  • 30
    • 0004204162 scopus 로고    scopus 로고
    • San Francisco, Morgan Kaufmann Publishers
    • Witten IH, Frank E (2000) Data mining. Morgan Kaufmann Publishers, San Francisco.
    • (2000) Data mining
    • Witten, I.H.1    Frank, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.