24.Fuzzy Systems by John G. Webster (Editor)

By John G. Webster (Editor)

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Syst, Man Cyberns. 1991, 21, pp 1260–1270. 18. Pal, N. ; Pal, S. K. Some Properties of the Exponential Entropy. Inform Sci. 1992, 66, pp 119–137. 19. Pal, S. K. Fuzzy Set Theoretic Tools for Image Analysis. ; Academic Press: New York, 1994, pp 247–296. 20. Pal, S. ; King, R. A. Image Enhancement Using Smoothing with Fuzzy Set. IEEE Trans. Syst. Man Cyberns. 1981, 11, pp 494–501. 21. Pal, S. ; King, R. A. Histogram Equalisation with S and II Functions in Detecting X-ray Edges. Electron. Lett. 1981, 17, pp 302–304.

K. Theoretical Performance of a Multivalued Recognition System. IEEE Trans. Syst. Man Cyberns. 1994, 24 pp 1001–1021. Mandal, D. ; Murthy, C. ; Pal, S. K. Analysis of IRS Imagery for Detecting Man-made Objects with a Multivalued Recognition System. IEEE Trans. Systm. Man Cyberns. A 1996, 26, pp 241–247. Zadeh, L. A. Fuzzy Logic and Approximate Reasoning. Synthese 1977, 30, pp 407–428. ; Kundu, M. K. Edge based Features for Content Based Image Retrieval. Pattern Recog. 2003, 36(11), pp 2649–2661.

64. Dave, R. ; Bhaswan, K. Adaptive Fuzzy c-shells Clustering and Detection of Ellipses. IEEE Trans. Neural Networks 1992, 3, pp 643–662. 65. ; Frigui, H. The Fuzzy C Spherical Shells Algorithm: A New Approach IEEE Trans. Neural Networks 1992, 3, pp 663–671. 66. Bensaid, A. ; Hall, L. ; Bezdek, J. ; Clarke, L. P. Partially Supervised Clustering for Image Segmentation. Pattern Recog. 1993, 29, pp 1033–1048. 67. Cannon, R. ; Dave, J. ; Bezdek, J. C. Efficient Implementation of the Fuzzy c-Means Clustering Algorithms.

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