Exponential Membership Function Evaluation based on Frequency

[1]  A. Agrawal,et al.  Multispectral image classification: a supervised neural computation approach based on rough–fuzzy membership function and weak fuzzy similarity relation , 2007 .

[2]  Patrick K. Simpson,et al.  Fuzzy min-max neural networks. I. Classification , 1992, IEEE Trans. Neural Networks.

[3]  Wen-June Wang,et al.  Function approximation via particular input space partition and region-based exponential membership functions , 2004, Fuzzy Sets Syst..

[4]  Efendi N. Nasibov,et al.  Comparative clustering analysis of bispectral index series of brain activity , 2010, Expert Syst. Appl..

[5]  P. McNicholas.  Model-based classification using latent Gaussian mixture models , 2010 .

[6]  Nirmal K. Bose,et al.  Generating fuzzy membership function with self-organizing feature map , 2006, Pattern Recognit. Lett..

[7]  Dan Hu,et al.  A new training algorithm for HHFNN based on Gaussian membership function for approximation , 2009, Neurocomputing.

[8]  Xiuping Liu,et al.  A new fuzzy approach for handling class labels in canonical correlation analysis , 2008, Neurocomputing.

[9]  Andrew K. C. Wong,et al.  A fuzzy approach to partitioning continuous attributes for classification , 2006, IEEE Transactions on Knowledge and Data Engineering.

[10]  Shyi-Ming Chen,et al.  A new method for constructing membership functions and fuzzy rules from training examples , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[11]  Eghbal G. Mansoori,et al.  A weighting function for improving fuzzy classification systems performance , 2007, Fuzzy Sets Syst..

[12]  Shyi-Ming Chen,et al.  A NEW METHOD TO CONSTRUCT MEMBERSHIP FUNCTIONS AND GENERATE WEIGHTED FUZZY RULES FROM TRAINING INSTANCES , 2005, Cybern. Syst..

[13]  Byung-In Choi,et al.  Interval type-2 fuzzy membership function generation methods for pattern recognition , 2009, Inf. Sci..

[14]  Arnaud Devillez,et al.  Four fuzzy supervised classification methods for discriminating classes of non-convex shape , 2004, Fuzzy Sets Syst..