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Volumn 16, Issue 1, 2014, Pages 68-83

A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application

Author keywords

Disparate data fusion; Ensemble of experts; Fuzzy lattice reasoning (FLR); Granular data; Inclusion measure; Intervals' Number (IN); Lattice theory; Lattice Computing; Sparse rules

Indexed keywords

ENSEMBLE OF EXPERTS; FUZZY LATTICE; GRANULAR DATUM; INCLUSION MEASURE; INTERVALS' NUMBER (IN); LATTICE-COMPUTING; SPARSE RULES;

EID: 84887108522     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2011.04.003     Document Type: Article
Times cited : (28)

References (86)
  • 1
    • 77954653785 scopus 로고    scopus 로고
    • Hybrid learning machines - Guest editorial
    • A. Abraham, E. Corchado, and J.M. Corchado Hybrid learning machines - guest editorial Neurocomputing 72 13-15 2009 2729 2730
    • (2009) Neurocomputing , vol.72 , Issue.1315 , pp. 2729-2730
    • Abraham, A.1    Corchado, E.2    Corchado, J.M.3
  • 2
    • 18444371749 scopus 로고    scopus 로고
    • A constructive method for the definition of interval-valued fuzzy implication operators
    • C. Alcalde, A. Burusco, and R. Fuentes-González A constructive method for the definition of interval-valued fuzzy implication operators Fuzzy Sets and Systems 153 2 2005 211 227
    • (2005) Fuzzy Sets and Systems , vol.153 , Issue.2 , pp. 211-227
    • Alcalde, C.1    Burusco, A.2    Fuentes-González, R.3
  • 3
  • 5
    • 75749158471 scopus 로고    scopus 로고
    • On voting-based consensus of cluster ensembles
    • H.G. Ayad, and M.S. Kamel On voting-based consensus of cluster ensembles Pattern Recognition 43 5 2010 1943 1953
    • (2010) Pattern Recognition , vol.43 , Issue.5 , pp. 1943-1953
    • Ayad, H.G.1    Kamel, M.S.2
  • 6
    • 67349144405 scopus 로고    scopus 로고
    • Machine ensemble approach for simultaneous detection of transient and gradual abnormalities in end milling using multisensor fusion
    • S. Binsaeid, S. Asfour, S. Cho, and A. Onar Machine ensemble approach for simultaneous detection of transient and gradual abnormalities in end milling using multisensor fusion Journal of Materials Processing Technology 209 10 2009 4728 4738
    • (2009) Journal of Materials Processing Technology , vol.209 , Issue.10 , pp. 4728-4738
    • Binsaeid, S.1    Asfour, S.2    Cho, S.3    Onar, A.4
  • 8
    • 77958471616 scopus 로고    scopus 로고
    • A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
    • A. Bisserier, R. Boukezzoula, and S. Galichet A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals Information Sciences 180 19 2010 3653 3673
    • (2010) Information Sciences , vol.180 , Issue.19 , pp. 3653-3673
    • Bisserier, A.1    Boukezzoula, R.2    Galichet, S.3
  • 10
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 11
  • 12
    • 19344374461 scopus 로고    scopus 로고
    • Self-organizing information fusion and hierarchical knowledge discovery: A new framework using ARTMAP neural networks
    • G.A. Carpenter, S. Martens, and O.J. Ogas Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks Neural Networks 18 3 2005 287 295
    • (2005) Neural Networks , vol.18 , Issue.3 , pp. 287-295
    • Carpenter, G.A.1    Martens, S.2    Ogas, O.J.3
  • 13
    • 68349128685 scopus 로고    scopus 로고
    • Biologically-inspired information fusion - Guest editorial
    • M.C. Casey, and R.I. Damper Biologically-inspired information fusion - guest editorial Information Fusion 11 1 2010 2 3
    • (2010) Information Fusion , vol.11 , Issue.1 , pp. 2-3
    • Casey, M.C.1    Damper, R.I.2
  • 14
    • 67651012336 scopus 로고    scopus 로고
    • Modeling and control of fluid dispensing processes: A state-of-the-art review
    • X.B. Chen Modeling and control of fluid dispensing processes: a state-of-the-art review The International Journal of Advanced Manufacturing Technology 43 3-4 2009 276 286
    • (2009) The International Journal of Advanced Manufacturing Technology , vol.43 , Issue.34 , pp. 276-286
    • Chen, X.B.1
  • 15
    • 78049271779 scopus 로고    scopus 로고
    • Hybrid intelligent algorithms and applications - Guest editorial
    • E. Corchado, A. Abraham, and A. de Carvalho Hybrid intelligent algorithms and applications - guest editorial Information Sciences 180 14 2010 2633 2634
    • (2010) Information Sciences , vol.180 , Issue.14 , pp. 2633-2634
    • Corchado, E.1    Abraham, A.2    De Carvalho, A.3
  • 16
    • 58649110205 scopus 로고    scopus 로고
    • Overfitting cautious selection of classifier ensembles with genetic algorithms
    • E.M. Dos Santos, R. Sabourin, and P. Maupin Overfitting cautious selection of classifier ensembles with genetic algorithms Information Fusion 10 2 2009 150 162
    • (2009) Information Fusion , vol.10 , Issue.2 , pp. 150-162
    • Dos Santos, E.M.1    Sabourin, R.2    Maupin, P.3
  • 17
    • 77956963824 scopus 로고    scopus 로고
    • Data fusion in intelligent transportation systems: Progress and challenges - A survey
    • N.-E. El Faouzi, H. Leung, and A. Kurian Data fusion in intelligent transportation systems: progress and challenges - a survey Information Fusion 12 1 2011 4 10
    • (2011) Information Fusion , vol.12 , Issue.1 , pp. 4-10
    • El Faouzi, N.-E.1    Leung, H.2    Kurian, A.3
  • 19
    • 0030462723 scopus 로고    scopus 로고
    • Order of search in fuzzy ART and fuzzy-ARTMAP: Effect of the choice parameter
    • M. Georgiopoulos, H. Fernlund, G. Bebis, and G.L. Heileman Order of search in fuzzy ART and fuzzy-ARTMAP: effect of the choice parameter Neural Networks 9 9 1996 1541 1559
    • (1996) Neural Networks , vol.9 , Issue.9 , pp. 1541-1559
    • Georgiopoulos, M.1    Fernlund, H.2    Bebis, G.3    Heileman, G.L.4
  • 20
    • 34249325837 scopus 로고    scopus 로고
    • An optimized architecture for classification combining data fusion and data-mining
    • G. Gigli, É. Bossé, and G.A. Lampropoulos An optimized architecture for classification combining data fusion and data-mining Information Fusion 8 4 2007 366 378
    • (2007) Information Fusion , vol.8 , Issue.4 , pp. 366-378
    • Gigli, G.1    Bossé, É.2    Lampropoulos, G.A.3
  • 21
    • 77649233903 scopus 로고    scopus 로고
    • Committees of Adaboost ensembles with modified emphasis functions
    • V. Gómez-Verdejo, J. Arenas-García, and A.R. Figueiras-Vidal Committees of Adaboost ensembles with modified emphasis functions Neurocomputing 73 7-9 2010 1289 1292
    • (2010) Neurocomputing , vol.73 , Issue.79 , pp. 1289-1292
    • Gómez-Verdejo, V.1    Arenas-García, J.2    Figueiras-Vidal, A.R.3
  • 22
    • 74449083022 scopus 로고    scopus 로고
    • Combination of multiple classifiers for post-placement quality inspection of components: A comparative study
    • S.K. Goumas, I.N. Dimou, and M.E. Zervakis Combination of multiple classifiers for post-placement quality inspection of components: a comparative study Information Fusion 11 2 2010 149 162
    • (2010) Information Fusion , vol.11 , Issue.2 , pp. 149-162
    • Goumas, S.K.1    Dimou, I.N.2    Zervakis, M.E.3
  • 23
    • 67349127616 scopus 로고    scopus 로고
    • Lattice computing and natural computing - Guest editorial
    • M. Graña Lattice computing and natural computing - guest editorial Neurocomputing 72 10-12 2009 2065 2066
    • (2009) Neurocomputing , vol.72 , Issue.1012 , pp. 2065-2066
    • Graña, M.1
  • 24
    • 79952191859 scopus 로고    scopus 로고
    • Lattice independent component analysis for functional magnetic resonance imaging
    • M. Graña, D. Chyzhyk, M. García-Sebastián, and C. Hernández Lattice independent component analysis for functional magnetic resonance imaging Information Sciences 181 10 2011 1910 1928
    • (2011) Information Sciences , vol.181 , Issue.10 , pp. 1910-1928
    • Graña, M.1    Chyzhyk, D.2    García-Sebastián, M.3    Hernández, C.4
  • 26
    • 65449136419 scopus 로고    scopus 로고
    • Two lattice computing approaches for the unsupervised segmentation of hyperspectral images
    • M. Graña, I. Villaverde, J.O. Maldonado, and C. Hernandez Two lattice computing approaches for the unsupervised segmentation of hyperspectral images Neurocomputing 72 10-12 2009 2111 2120
    • (2009) Neurocomputing , vol.72 , Issue.1012 , pp. 2111-2120
    • Graña, M.1    Villaverde, I.2    Maldonado, J.O.3    Hernandez, C.4
  • 27
    • 77954760265 scopus 로고    scopus 로고
    • Multisensory integration: Resolving sensory ambiguities to build novel representations
    • A.M. Green, and D.E. Angelaki Multisensory integration: resolving sensory ambiguities to build novel representations Current Opinion in Neurobiology 20 3 2010 353 360
    • (2010) Current Opinion in Neurobiology , vol.20 , Issue.3 , pp. 353-360
    • Green, A.M.1    Angelaki, D.E.2
  • 28
    • 0035360372 scopus 로고    scopus 로고
    • Designing fuzzy inference systems from data: An interpretability-oriented review
    • S. Guillaume Designing fuzzy inference systems from data: an interpretability-oriented review IEEE Transactions on Fuzzy Systems 9 3 2001 426 443
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.3 , pp. 426-443
    • Guillaume, S.1
  • 29
    • 77949264826 scopus 로고    scopus 로고
    • Classification of multispectral images in coral environments using a hybrid of classifier ensembles
    • A.P.M. Henriques, A.D. Dória Neto, and R.F. Amaral Classification of multispectral images in coral environments using a hybrid of classifier ensembles Neurocomputing 73 7-9 2010 1256 1264
    • (2010) Neurocomputing , vol.73 , Issue.79 , pp. 1256-1264
    • Henriques, A.P.M.1    Dória Neto, A.D.2    Amaral, R.F.3
  • 30
    • 68949163778 scopus 로고    scopus 로고
    • Combining predictions in pairwise classification: An optimal adaptive voting strategy and its relation to weighted voting
    • E. Hüllermeier, and S. Vanderlooy Combining predictions in pairwise classification: an optimal adaptive voting strategy and its relation to weighted voting Pattern Recognition 43 1 2010 128 142
    • (2010) Pattern Recognition , vol.43 , Issue.1 , pp. 128-142
    • Hüllermeier, E.1    Vanderlooy, S.2
  • 31
  • 33
    • 0344035526 scopus 로고    scopus 로고
    • The process modelling of epoxy dispensing for microchip encapsulation using fuzzy linear regression with fuzzy intervals
    • C.K.W. Ip, C.K. Kwong, H. Bai, and Y.C. Tsim The process modelling of epoxy dispensing for microchip encapsulation using fuzzy linear regression with fuzzy intervals The International Journal of Advanced Manufacturing Technology 22 5-6 2003 417 423
    • (2003) The International Journal of Advanced Manufacturing Technology , vol.22 , Issue.56 , pp. 417-423
    • Ip, C.K.W.1    Kwong, C.K.2    Bai, H.3    Tsim, Y.C.4
  • 34
    • 0029617280 scopus 로고
    • Convergence results for the em approach to mixtures of experts architectures
    • M.I. Jordan, and L. Xu Convergence results for the EM approach to mixtures of experts architectures Neural Networks 8 9 1995 1409 1431
    • (1995) Neural Networks , vol.8 , Issue.9 , pp. 1409-1431
    • Jordan, M.I.1    Xu, L.2
  • 35
    • 1842587808 scopus 로고    scopus 로고
    • FINs: Lattice theoretic tools for improving prediction of sugar production from populations of measurements
    • V.G. Kaburlasos FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements IEEE Transactions on Systems, Man and Cybernetics - Part B 34 2 2004 1017 1030
    • (2004) IEEE Transactions on Systems, Man and Cybernetics - Part B , vol.34 , Issue.2 , pp. 1017-1030
    • Kaburlasos, V.G.1
  • 36
    • 33947362460 scopus 로고    scopus 로고
    • Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory
    • Springer
    • V.G. Kaburlasos Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory Studies in Computational Intelligence vol. 27 2006 Springer
    • (2006) Studies in Computational Intelligence , vol.27 VOL.
    • Kaburlasos, V.G.1
  • 37
    • 34347391248 scopus 로고    scopus 로고
    • Granular enhancement of fuzzy-ART/SOM neural classifiers based on lattice theory
    • V.G. Kaburlasos, G.X. Ritter, Studies in Computational Intelligence Springer
    • V.G. Kaburlasos Granular enhancement of fuzzy-ART/SOM neural classifiers based on lattice theory V.G. Kaburlasos, G.X. Ritter, Computational Intelligence Based on Lattice Theory Studies in Computational Intelligence vol. 67 2007 Springer 3 23
    • (2007) Computational Intelligence Based on Lattice Theory , vol.67 VOL. , pp. 3-23
    • Kaburlasos, V.G.1
  • 39
    • 33947355227 scopus 로고    scopus 로고
    • Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles
    • V.G. Kaburlasos, and A. Kehagias Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: working principles International Journal of General Systems 35 1 2006 45 67
    • (2006) International Journal of General Systems , vol.35 , Issue.1 , pp. 45-67
    • Kaburlasos, V.G.1    Kehagias, A.2
  • 40
    • 34147150044 scopus 로고    scopus 로고
    • Novel fuzzy inference system (FIS) analysis and design based on lattice theory
    • V.G. Kaburlasos, and A. Kehagias Novel fuzzy inference system (FIS) analysis and design based on lattice theory IEEE Transactions on Fuzzy Systems 15 2 2007 243 260
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.2 , pp. 243-260
    • Kaburlasos, V.G.1    Kehagias, A.2
  • 41
    • 33745814773 scopus 로고    scopus 로고
    • Granular self-organizing map (grSOM) for structure identification
    • V.G. Kaburlasos, and S.E. Papadakis Granular self-organizing map (grSOM) for structure identification Neural Networks 19 5 2006 623 643
    • (2006) Neural Networks , vol.19 , Issue.5 , pp. 623-643
    • Kaburlasos, V.G.1    Papadakis, S.E.2
  • 42
    • 67349270912 scopus 로고    scopus 로고
    • A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
    • V.G. Kaburlasos, and S.E. Papadakis A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR) Neurocomputing 72 10-12 2009 2067 2078
    • (2009) Neurocomputing , vol.72 , Issue.1012 , pp. 2067-2078
    • Kaburlasos, V.G.1    Papadakis, S.E.2
  • 43
    • 0034548913 scopus 로고    scopus 로고
    • Fuzzy lattice neurocomputing (FLN) models
    • V.G. Kaburlasos, and V. Petridis Fuzzy lattice neurocomputing (FLN) models Neural Networks 13 10 2000 1145 1169
    • (2000) Neural Networks , vol.13 , Issue.10 , pp. 1145-1169
    • Kaburlasos, V.G.1    Petridis, V.2
  • 48
    • 0036532571 scopus 로고    scopus 로고
    • Switching between selection and fusion in combining classifiers: An experiment
    • L.I. Kuncheva Switching between selection and fusion in combining classifiers: an experiment IEEE Transactions on Systems, Man and Cybernetics - Part B 32 2 2002 146 156
    • (2002) IEEE Transactions on Systems, Man and Cybernetics - Part B , vol.32 , Issue.2 , pp. 146-156
    • Kuncheva, L.I.1
  • 49
    • 24144490154 scopus 로고    scopus 로고
    • Diversity in multiple classifier systems - Guest editorial
    • L.I. Kuncheva Diversity in multiple classifier systems - guest editorial Information Fusion 6 1 2005 3 4
    • (2005) Information Fusion , vol.6 , Issue.1 , pp. 3-4
    • Kuncheva, L.I.1
  • 50
    • 77952293118 scopus 로고    scopus 로고
    • Classifier ensembles for fMRI data analysis: An experiment
    • L.I. Kuncheva, and J.J. Rodríguez Classifier ensembles for fMRI data analysis: an experiment Magnetic Resonance Imaging 28 4 2010 583 593
    • (2010) Magnetic Resonance Imaging , vol.28 , Issue.4 , pp. 583-593
    • Kuncheva, L.I.1    Rodríguez, J.J.2
  • 51
    • 71749099137 scopus 로고    scopus 로고
    • CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus
    • D.-J. Lee, S. Antani, Y. Chang, K. Gledhill, L.R. Long, and P. Christensen CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus Data and Knowledge Engineering 68 12 2009 1359 1369
    • (2009) Data and Knowledge Engineering , vol.68 , Issue.12 , pp. 1359-1369
    • Lee, D.-J.1    Antani, S.2    Chang, Y.3    Gledhill, K.4    Long, L.R.5    Christensen, P.6
  • 52
    • 58349092749 scopus 로고    scopus 로고
    • Majority voting combination of multiple case-based reasoning for financial distress prediction
    • H. Li, and J. Sun Majority voting combination of multiple case-based reasoning for financial distress prediction Expert Systems with Applications 36 3, Part 1 2009 4363 4373
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 4363-4373
    • Li, H.1    Sun, J.2
  • 53
    • 50449109822 scopus 로고    scopus 로고
    • A theoretical study of multisensory integration in the superior colliculus by a neural network model
    • E. Magosso, C. Cuppini, A. Serino, G. Di Pellegrino, and M. Ursino A theoretical study of multisensory integration in the superior colliculus by a neural network model Neural Networks 21 6 2008 817 829
    • (2008) Neural Networks , vol.21 , Issue.6 , pp. 817-829
    • Magosso, E.1    Cuppini, C.2    Serino, A.3    Di Pellegrino, G.4    Ursino, M.5
  • 58
    • 77958516150 scopus 로고    scopus 로고
    • On the role of complete lattices in mathematical morphology: From tool to uncertainty model
    • M. Nachtegael, P. Sussner, T. Mélange, and E.E. Kerre On the role of complete lattices in mathematical morphology: from tool to uncertainty model Information Sciences 181 10 2011 1971 1988
    • (2011) Information Sciences , vol.181 , Issue.10 , pp. 1971-1988
    • Nachtegael, M.1    Sussner, P.2    Mélange, T.3    Kerre, E.E.4
  • 59
    • 36249013654 scopus 로고    scopus 로고
    • Applications of ensemble methods - Guest editorial
    • N.C. Oza, and K. Tumer Applications of ensemble methods - guest editorial Information Fusion 9 1 2008 2 3
    • (2008) Information Fusion , vol.9 , Issue.1 , pp. 2-3
    • Oza, N.C.1    Tumer, K.2
  • 60
    • 77957672053 scopus 로고    scopus 로고
    • Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted Intervals' Numbers (INs)
    • S.E. Papadakis, and V.G. Kaburlasos Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted Intervals' Numbers (INs) Information Sciences 180 24 2010 5060 5076
    • (2010) Information Sciences , vol.180 , Issue.24 , pp. 5060-5076
    • Papadakis, S.E.1    Kaburlasos, V.G.2
  • 61
    • 0141521142 scopus 로고    scopus 로고
    • ARTMAP neural networks for information fusion and data mining: Map production and target recognition methodologies
    • O. Parsons, and G.A. Carpenter ARTMAP neural networks for information fusion and data mining: map production and target recognition methodologies Neural Networks 16 7 2003 1075 1089
    • (2003) Neural Networks , vol.16 , Issue.7 , pp. 1075-1089
    • Parsons, O.1    Carpenter, G.A.2
  • 63
    • 2342646943 scopus 로고    scopus 로고
    • FINkNN: A fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples
    • V. Petridis, and V.G. Kaburlasos FINkNN: a fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples Journal of Machine Learning Research 4 2003 17 37
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 17-37
    • Petridis, V.1    Kaburlasos, V.G.2
  • 65
    • 33748611921 scopus 로고    scopus 로고
    • Ensemble based systems in decision making
    • R. Polikar Ensemble based systems in decision making IEEE Circuits and Systems Magazine 6 3 2006 21 45
    • (2006) IEEE Circuits and Systems Magazine , vol.6 , Issue.3 , pp. 21-45
    • Polikar, R.1
  • 66
    • 77649231429 scopus 로고    scopus 로고
    • Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines
    • M. Re, and G. Valentini Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines Neurocomputing 73 7-9 2010 1533 1537
    • (2010) Neurocomputing , vol.73 , Issue.79 , pp. 1533-1537
    • Re, M.1    Valentini, G.2
  • 67
    • 0025505809 scopus 로고
    • Why mathematical morphology needs complete lattices
    • C. Ronse Why mathematical morphology needs complete lattices Signal Processing 21 2 1990 129 154
    • (1990) Signal Processing , vol.21 , Issue.2 , pp. 129-154
    • Ronse, C.1
  • 68
    • 78650533161 scopus 로고    scopus 로고
    • A case study with design of experiments: Performance evaluation methodology for Level 1 distributed data fusion processes
    • K. Sambhoos, C. Bowman, and J. Llinas A case study with design of experiments: Performance evaluation methodology for Level 1 distributed data fusion processes Information Fusion 12 2 2011 93 104
    • (2011) Information Fusion , vol.12 , Issue.2 , pp. 93-104
    • Sambhoos, K.1    Bowman, C.2    Llinas, J.3
  • 69
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R.E. Schapire The strength of weak learnability Machine Learning 5 2 1990 197 227
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 72
    • 79952189904 scopus 로고    scopus 로고
    • Morphological perceptrons with competitive learning: Lattice-theoretical framework and constructive learning algorithm
    • P. Sussner, and E.L. Esmi Morphological perceptrons with competitive learning: lattice-theoretical framework and constructive learning algorithm Information Sciences 181 10 2011 1929 1950
    • (2011) Information Sciences , vol.181 , Issue.10 , pp. 1929-1950
    • Sussner, P.1    Esmi, E.L.2
  • 73
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • T. Takagi, and M. Sugeno Fuzzy identification of systems and its applications to modeling and control IEEE Transactions on Systems, Man and Cybernetics 15 1 1985 116 132
    • (1985) IEEE Transactions on Systems, Man and Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 74
    • 73849104985 scopus 로고    scopus 로고
    • An ensemble ELM based on modified AdaBoost.RT algorithm for predicting the temperature of molten steel in ladle furnace
    • H.-X. Tian, and Z.-Z. Mao An ensemble ELM based on modified AdaBoost.RT algorithm for predicting the temperature of molten steel in ladle furnace IEEE Transactions on Automation Science and Engineering 7 1 2010 73 80
    • (2010) IEEE Transactions on Automation Science and Engineering , vol.7 , Issue.1 , pp. 73-80
    • Tian, H.-X.1    Mao, Z.-Z.2
  • 75
    • 0027590043 scopus 로고
    • Fuzzy inference based on families of α-level sets
    • K. Uehara, and M. Fujise Fuzzy inference based on families of α-level sets IEEE Transactions on Fuzzy Systems 1 2 1993 111 124
    • (1993) IEEE Transactions on Fuzzy Systems , vol.1 , Issue.2 , pp. 111-124
    • Uehara, K.1    Fujise, M.2
  • 76
    • 0032040964 scopus 로고    scopus 로고
    • Parallel and multistage fuzzy inference based on families of α-level sets
    • K. Uehara, and K. Hirota Parallel and multistage fuzzy inference based on families of α-level sets Information Sciences 106 1-2 1998 159 195
    • (1998) Information Sciences , vol.106 , Issue.12 , pp. 159-195
    • Uehara, K.1    Hirota, K.2
  • 79
    • 34548733571 scopus 로고    scopus 로고
    • Mathematics of uncertainty - Guest editorial
    • P.P. Wang Mathematics of uncertainty - guest editorial Information Sciences 177 23 2007 5141 5142
    • (2007) Information Sciences , vol.177 , Issue.23 , pp. 5141-5142
    • Wang, P.P.1
  • 80
    • 61449237395 scopus 로고    scopus 로고
    • Compacted probabilistic visual target classification with committee decision in wireless multimedia sensor networks
    • X. Wang, S. Wang, and D. Bi Compacted probabilistic visual target classification with committee decision in wireless multimedia sensor networks IEEE Sensors Journal 9 4 2009 346 353
    • (2009) IEEE Sensors Journal , vol.9 , Issue.4 , pp. 346-353
    • Wang, X.1    Wang, S.2    Bi, D.3
  • 82
    • 33750719417 scopus 로고    scopus 로고
    • Proposition of common classifier construction for pattern recognition with context task
    • M. Wozniak Proposition of common classifier construction for pattern recognition with context task Knowledge-Based Systems 19 8 2006 617 624
    • (2006) Knowledge-Based Systems , vol.19 , Issue.8 , pp. 617-624
    • Wozniak, M.1
  • 83
    • 0016459349 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning - I
    • L.A. Zadeh The concept of a linguistic variable and its application to approximate reasoning - I Information Sciences 8 3 1975 199 249
    • (1975) Information Sciences , vol.8 , Issue.3 , pp. 199-249
    • Zadeh, L.A.1
  • 84
    • 0032786058 scopus 로고    scopus 로고
    • From computing with numbers to computing with words - From manipulation of measurements to manipulation of perceptions
    • L.A. Zadeh From computing with numbers to computing with words - from manipulation of measurements to manipulation of perceptions IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications 45 1 1999 105 119
    • (1999) IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications , vol.45 , Issue.1 , pp. 105-119
    • Zadeh, L.A.1
  • 85
    • 36348971282 scopus 로고    scopus 로고
    • A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images
    • P. Zhong, and R. Wang A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images IEEE Transactions on Geoscience and Remote Sensing 45 12 2007 3978 3988
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.12 , pp. 3978-3988
    • Zhong, P.1    Wang, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.