T-S fuzzy modeling based on compatible relation and its application in power plant
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[1] Zhimin Chen,et al. Smoothing dissimilarities to cluster binary data , 2008, Comput. Stat. Data Anal..
[2] Seema Chopra,et al. Identification of rules using subtractive clustering with application to fuzzy controllers , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
[3] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[4] Michael K. Ng,et al. On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Feng Yun,et al. Fuzzy Clustering Analysis , 2010 .
[6] Qi Zhang,et al. PoClustering: Lossless Clustering of Dissimilarity Data , 2007, SDM.
[7] Zhao Ming,et al. The Clustering Based on the Equivalent Dissimilarity Degree Matrix , 2004 .
[8] Rajani K. Mudi,et al. A new scheme for fuzzy rule-based system identification and its application to self-tuning fuzzy controllers , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[9] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[10] Kang Ai-hong. An adaptive learning algorithm for T-S fuzzy model based RBF neural network , 2004 .
[11] Xingsheng Gu,et al. An Improved Method on Nearest-neighbor Clustering Learning in Self-adaptive Fuzzy Identification , 2006, Sixth International Conference on Intelligent Systems Design and Applications.
[12] Niko E. C. Verhoest,et al. Cluster-based fuzzy models for groundwater flow in the unsaturated zone , 2007 .