Fuzzy Classification Using Pattern Discovery
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Daniel W. Stashuk | Hamid R. Tizhoosh | Andrew Hamilton-Wright | H. Tizhoosh | D. Stashuk | A. Hamilton-Wright
[1] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[2] Ted Heske,et al. Fuzzy Logic for Real World Design , 1996 .
[3] Nikola K. Kasabov,et al. NFI: a neuro-fuzzy inference method for transductive reasoning , 2005, IEEE Transactions on Fuzzy Systems.
[4] Yadong Wang,et al. A new approach to fuzzy rule generation: fuzzy extension matrix , 2001, Fuzzy Sets Syst..
[5] Sankar K. Pal,et al. Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing , 1999 .
[6] Sankar K. Pal,et al. Self-organization for object extraction using a multilayer neural network and fuzziness measures , 1993, IEEE Trans. Fuzzy Syst..
[7] Hisao Ishibuchi,et al. Learning of fuzzy classification rules by a genetic algorithm , 1997 .
[8] James C. Bezdek,et al. A mixed c-means clustering model , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[9] J. Ross Quinlan. Learning First-Order Definitions of Functions , 1996, J. Artif. Intell. Res..
[10] Sergei Ovchinnikov,et al. Fuzzy sets and applications , 1987 .
[11] Min-You Chen. Establishing interpretable fuzzy models from numeric data , 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).
[12] Frank Hoffmann. Combining boosting and evolutionary algorithms for learning of fuzzy classification rules , 2004, Fuzzy Sets Syst..
[13] D. V. Gokhale,et al. On Joint and Conditional Entropies , 1999, Entropy.
[14] J. C. Peters,et al. Fuzzy cluster analysis--a new method to predict future cardiac events in patients with positive stress tests. , 1998, Japanese circulation journal.
[15] Yang Wang,et al. From Association to Classification: Inference Using Weight of Evidence , 2003, IEEE Trans. Knowl. Data Eng..
[16] Rudolf Kruse,et al. DESIGNING NEURO-FUZZY SYSTEMS THROUGH BACKPROPAGATION , 1996 .
[17] Daniel W. Stashuk,et al. Transparent decision support using statistical reasoning and fuzzy inference , 2006, IEEE Transactions on Knowledge and Data Engineering.
[18] Yang Wang,et al. High-Order Pattern Discovery from Discrete-Valued Data , 1997, IEEE Trans. Knowl. Data Eng..
[19] Shusaku Tsumoto,et al. Statistical evidence for rough set analysis , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[20] Thomas Sudkamp,et al. Sparse data in the evolutionary generation of fuzzy models , 2003, Fuzzy Sets Syst..
[21] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[22] A. Hamilton-Wright,et al. Comparing "pattern discovery" and back-propagation classifiers , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[23] Wojciech Ziarko,et al. Acquisition of hierarchy-structured probabilistic decision tables and rules from data , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[24] James M. Keller,et al. The possibilistic C-means algorithm: insights and recommendations , 1996, IEEE Trans. Fuzzy Syst..
[25] László T. Kóczy,et al. A histogram-based rule extraction technique for fuzzy systems , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).
[26] L. Zadeh. The role of fuzzy logic in the management of uncertainty in expert systems , 1983 .
[27] Hao Xing,et al. Rapid development of knowledge-based systems via integrated knowledge acquisition , 2003, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[28] Rudolf Kruse,et al. A neuro-fuzzy method to learn fuzzy classification rules from data , 1997, Fuzzy Sets Syst..
[29] Hideo Tanaka,et al. Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms , 1994, CVPR 1994.
[30] Tzung-Pei Hong,et al. Induction of fuzzy rules and membership functions from training examples , 1996, Fuzzy Sets Syst..
[31] Eric GauthierLEIBNIZ,et al. Combining Fuzzy Knowledge and Data for Neuro-fuzzy Modeling , 1997 .
[32] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[33] Sushmita Mitra,et al. Neuro-fuzzy rule generation: survey in soft computing framework , 2000, IEEE Trans. Neural Networks Learn. Syst..
[34] Dragan Kukolj,et al. Design of adaptive Takagi-Sugeno-Kang fuzzy models , 2002, Appl. Soft Comput..
[35] D. Stashuk,et al. A proposed framework for incorporating 'weight of evidence' within a fuzzy rule based classification system , 2005, NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society.
[36] Earl Cox,et al. The fuzzy systems handbook , 1994 .
[37] Yang Wang,et al. Pattern discovery: a data driven approach to decision support , 2003, IEEE Trans. Syst. Man Cybern. Part C.
[38] James C. Bezdek,et al. Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms , 1996, Neural Networks.
[39] Yang Wang,et al. High-order pattern discovery and analysis of discrete-valued data sets , 1997 .
[40] Frank Klawonn,et al. Foundations of fuzzy systems , 1994 .
[41] Lawrence O. Hall,et al. Rule chaining in fuzzy expert systems , 2001, IEEE Trans. Fuzzy Syst..
[42] Ebrahim Mamdani,et al. Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .
[43] Gleb Beliakov,et al. Appropriate choice of aggregation operators in fuzzy decision support systems , 2001, IEEE Trans. Fuzzy Syst..
[44] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[45] Tom Chau,et al. Marginal Maximum Entropy Partitioning Yields Asymptotically Consistent Probability Density Functions , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Detlef Nauck,et al. Foundations Of Neuro-Fuzzy Systems , 1997 .
[47] James C. Bezdek,et al. Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm , 2002, Pattern Recognit. Lett..
[48] Jeen-Shing Wang,et al. Self-adaptive neuro-fuzzy inference systems for classification applications , 2002, IEEE Trans. Fuzzy Syst..
[49] Chandrasekhar Kambhampati,et al. A rough set solution to a fuzzy set problem , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).
[50] S Mangrulkar,et al. Artificial neural systems. , 1990, ISA transactions.
[51] Héctor Pomares,et al. Self-organized fuzzy system generation from training examples , 2000, IEEE Trans. Fuzzy Syst..
[52] Bogdan Gabrys,et al. Learning hybrid neuro-fuzzy classifier models from data: to combine or not to combine? , 2004, Fuzzy Sets Syst..
[53] Dimitar Filev,et al. Relational partitioning of fuzzy rules , 1996, Fuzzy Sets Syst..
[54] S. Haberman. The Analysis of Residuals in Cross-Classified Tables , 1973 .
[55] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[56] Qiang Shen,et al. A rough-fuzzy approach for generating classification rules , 2002, Pattern Recognit..
[57] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[58] Bart Kosko,et al. Fuzzy Systems as Universal Approximators , 1994, IEEE Trans. Computers.
[59] Lotfi A. Zadeh,et al. A fuzzy-algorithmic approach to the definition of complex or imprecise concepts , 1976 .
[60] Witold Pedrycz,et al. Fuzzy sets engineering , 1995 .
[61] 領家 美奈,et al. A Possibilistic Approach to Clustering Raghu Krishnapuram and James M. Keller IEEE Transactions on Fuzzy Systems, Vol.1,Vol.2,pp.98-110,1993 , 1995 .
[62] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[63] Francisco Herrera,et al. Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases , 2002, Advances in Fuzzy Systems - Applications and Theory.
[64] Liang Chen,et al. A new scheme for an automatic generation of multi-variable fuzzy systems , 2001, Fuzzy Sets Syst..