Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions

[1]  J. Bezdek,et al.  FCM: The fuzzy c-means clustering algorithm , 1984 .

[2]  M. Sugeno,et al.  A review and comparison of six reasoning methods , 1993 .

[3]  Michio Sugeno,et al.  A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..

[4]  R.J. Hathaway,et al.  Switching regression models and fuzzy clustering , 1993, IEEE Trans. Fuzzy Syst..

[5]  John A. Swets,et al.  Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers , 1996 .

[6]  Hisao Ishibuchi,et al.  Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems , 1997, Fuzzy Sets Syst..

[7]  Euntai Kim,et al.  A transformed input-domain approach to fuzzy modeling , 1998, IEEE Trans. Fuzzy Syst..

[8]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[9]  Yu-Geng Xi,et al.  A clustering algorithm for fuzzy model identification , 1998, Fuzzy Sets Syst..

[10]  John Platt,et al.  Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .

[11]  Magne Setnes,et al.  Fuzzy relational classifier trained by fuzzy clustering , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[12]  David E. Booth,et al.  The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study , 2000 .

[13]  A. Clare,et al.  Calculating the probability of failure of the Norwegian banking sector , 2002 .

[14]  I. Burhan Türksen,et al.  Fuzzy system modeling in pharmacology: an improved algorithm , 2002, Fuzzy Sets Syst..

[15]  Jeen-Shing Wang,et al.  Self-adaptive neuro-fuzzy inference systems for classification applications , 2002, IEEE Trans. Fuzzy Syst..

[16]  Tzung-Pei Hong,et al.  Learning discriminant functions with fuzzy attributes for classification using genetic programming , 2002, Expert systems with applications.

[17]  Jem J. Rowland,et al.  Generalisation and Model Selection in Supervised Learning with Evolutionary Computation , 2003, EvoWorkshops.

[18]  Frank Klawonn,et al.  Improved fuzzy partitions for fuzzy regression models , 2003, Int. J. Approx. Reason..

[19]  Dug Hun Hong,et al.  Support vector fuzzy regression machines , 2003, Fuzzy Sets Syst..

[20]  I. Burhan Türksen,et al.  Learning associations between natural groups of input and output with a neurofuzzy structure , 2004, Robotics Auton. Syst..

[21]  Hiok Chai Quek,et al.  GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures , 2004, Neural Networks.

[22]  G. Castellano,et al.  An empirical risk functional to improve learning in a neuro-fuzzy classifier , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[23]  Serpil Canbas,et al.  Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case , 2005, Eur. J. Oper. Res..

[24]  Kin Keung Lai,et al.  A new fuzzy support vector machine to evaluate credit risk , 2005, IEEE Transactions on Fuzzy Systems.

[25]  Hiok Chai Quek,et al.  FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC , 2006, IEEE Transactions on Neural Networks.

[26]  Gleb Lanine,et al.  Failure prediction in the Russian bank sector with logit and trait recognition models , 2006, Expert Syst. Appl..

[27]  Mu-Yen Chen,et al.  Integrating extended classifier system and knowledge extraction model for financial investment prediction: An empirical study , 2006, Expert Syst. Appl..

[28]  Jacek M. Łski.  On support vector regression machines with linguistic interpretation of the kernel matrix , 2006 .

[29]  I. Turksen,et al.  Comparison of Fuzzy Functions with Fuzzy Rule Base Approaches , 2006 .

[30]  I. Burhan Türksen,et al.  Fuzzy functions with support vector machines , 2007, Inf. Sci..

[31]  Hsuan-Tien Lin,et al.  A note on Platt’s probabilistic outputs for support vector machines , 2007, Machine Learning.

[32]  I. Burhan Türksen,et al.  A New Classifier Design with Fuzzy Functions , 2009, RSFDGrC.

[33]  I. Burhan Türksen,et al.  Validation criteria for enhanced fuzzy clustering , 2008, Pattern Recognit. Lett..

[34]  I. Burhan Türksen,et al.  Fuzzy functions with LSE , 2008, Appl. Soft Comput..

[35]  I. Burhan Türksen,et al.  Enhanced Fuzzy System Models With Improved Fuzzy Clustering Algorithm , 2008, IEEE Transactions on Fuzzy Systems.