E. H. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-machine Studies, vol. 7, pp. 1-13, 1975.
 T. Takagi and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Transaction on System, Man, and Cybernetic, vol. 15, pp. 116-132, 1985.
 L. Rutkowski and K. Cpaka, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Transaction on Fuzzy Systems, vol. 13, no. 1, pp. 140-151, 2005.
 L. Rutkowski and K. Cpaka, Flexible neuro-fuzzy systems, IEEE Transaction on Neural Networks, vol. 14, no. 3, pp. 554-574, 2003.
 J. C. Bezdek, Pattern recognition with fuzzy objective function algorithms, Plenum Press, New York, 1981.
 J. C. Bezdek, R. Ehrlich, and W. Full, FCM: the fuzzy C-means clustering algorithm, Computers and Geosciences, vol. 10, no. 2-3, pp. 191-203, 1984.
 W. Pedrycz, Knowledge-based clustering: from data to information granules, A JohnWiley & Sons, Inc., Publication, 2005.
 W. Pedrycz, Collaborative fuzzy clustering, Pattern Recognition Letters, vol. 23, no. 14, pp. 1675-1686, 2002.
 W. Pedrycz and P. Rai, Collaborative Fuzzy Clustering with the use of Fuzzy C-Means and its Quantification, Fuzzy Sets and System, vol. 159, no. 18, pp. 2399-2427, 2008.
 C. T. Lin, M. Prasad, and J. Y Chang, Designing Mamdani Type Fuzzy Rule Using a Collaborative FCM Scheme, International Conference on Fuzzy Theory and Its Application, 2013.
 R. Babuska, Fuzzy Modeling for Control, Norwell, MA: Kluwer, 1998.
 J. C. Dunn, A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters, Journal of Cybernetics, vol. 3, pp. 32-57, 1973.
 F. Hoppner, F. Klawonn, R. Kruse, and T. Runkler, Fuzzy Cluster Analysis: Methods for Classification. Data Analysis and Image Recognition, New York: Wiley, 1999.
 E. R. Hruschka, R. J. G. B. Campello, A. A. Freitas, and A. C. P. L. F. de Carvalho, A survey of evolutionary algorithms for clustering, IEEE Transaction on System Man Cybernetics- part-c, vol. 39, no. 2, pp. 133-155, 2009.
 R. Xu and D. Wunsch, Survey of clustering algorithms, IEEE Transaction on Neural Networks, vol. 16, no. 3, pp. 645-678, 2005.
 R. R. Yager and D. P. Filev, Approximate clustering via the mountain method, IEEE Transaction on System, Man, Cybernetics, vol. 24, no. 8, pp. 1279-1284,1994.
 P. R. Kersten, Implementation issues in the fuzzy c-medians clustering algorithm, In Proceeding 6th IEEE International Conference on Fuzzy Systems, vol. 2, pp. 957-962, 1997.
 J. F. Kolen and T. Hutcheson, Reducing the time complexity of the fuzzy c-means algorithm, IEEE Transaction on Fuzzy Systems, vol. 10, no. 2, pp. 263-267, 2002.
 M. Sugeno and G. T. Kang, Structure identification of fuzzy model, Fuzzy Sets Systems, vol. 28, no. 1, pp. 15-33, 1988.
 C. W. Ting and C. Quek, A Novel Blood Glucose Regulation Using - TSK FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme, IEEE Transaction on Neural Networks, vol. 20, no. 5, pp. 856-871, 2009.
 J. R. Castro, O. Castillo, P. Melin, and A. Rodrguez-Daz, A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks, Information Science, vol. 179, no. 13, pp. 2175-2193, 2009.
 H. Song, C. Miao, Z. Shen, Y. Miao, and B. S. Lee, A fuzzy neural network with fuzzy impact grades, Neurocomputing, vol. 72, no. 13-15, pp. 3098-3122, 2009.
 D. Kim and C. Kim, Forecasting time series with genetic fuzzy predictor ensembles, IEEE Transaction on Fuzzy Systems, vol. 5, no. 4, pp. 523-535, 1997.
 M. Prasad, C. T. Lin, C. T. Yang and A. Saxena, Vertical Collaborative Fuzzy C-Means for Multiple EEG Data Sets, Springer Lecture Notes in Computer Science, vol. 8102, pp. 246-257, 2013.
 R. N. Dave, and K. Bhaswan, Adaptive fuzzy cshells clustering and detection of ellipses, IEEE Transaction on Neural Networks, vol. 3, no. 5, pp. 643-662, 1992.
 Y. Man, and I. Gath, Detection and separation of ring-shaped clusters using fuzzy clustering, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 855-861, 1994.
 R. Krishnapuram, O. Nasraoui, and J. Keller, The fuzzy c spherical shells algorithm: a new approach, IEEE Transaction on Neural Networks, vol. 3, no. 5, pp. 663-671, 1992.
 M. Prasad, D. L. Li, Y. T. Liu, L. Siana, C. T. Lin, and A. Saxena, A Preprocessed Induced Partition Matrix Based Collaborative Fuzzy Clustering for Data Analysis, IEEE International Conference of Fuzzy Systems, pp. 1553-1558, 2014.
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