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By John G. Webster (Editor)

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Extra resources for 24.Fuzzy Systems

Example text

Note that, by the definition of the maybe predicate, we also have 15 ʦM R. The basis of the relational model is set theoretic, so we can view a relation as a set of tuples. In a set there should not normally be duplicate elements, and the issue of elimination of duplicate tuples plays a significant role in inexact and imprecise models of data. For several fuzzy database models, the elimination of redundant tuples requires careful consideration. In the case of a range of values, we can see some of the issues that will arise in the case of fuzzy databases.

Sci. 1992, 61 pp 211–231. 13. ; Termini, S. A Definition of a Non Probabilistic Entropy in the Setting of Fuzzy Set Theory. Inform. Control 1972, 20, pp 301–312. 14. Shannon, C. E. A Mathematical Theory of Communication. Bell. Syst. Tech. J. 1948, 27, p 379. 15. Pal, N. ; Pal, S. K. Entropic Thresholding. Signal Proc. 1989, 16, pp 97–108. 16. Pal, N. ; Pal, S. K. Image Model, Poisson Distribution and Object Extraction. Int. J. Patt. Recog. Artific. , 1991, 5, pp 459–483. 17. Pal, N. ; Pal, S. K. Entrophy: A New Definition and Its Applications.

IEE Proc. Vision, Image and Signal Processing; 2006, 153(2), pp 206–214. Pednekar, A. ; Kakadiaris, I. A. Image Segmentation Based on Fuzzy Connectedness Using Dynamic Weights. IEEE Trans. Image Proc. 2006, 15(6), pp 1555–1562. ; Kakadiaris, I. A. Automated Left Ventricular Segmentation in Cardiac MRI. IEEE Trans. Biomed. Eng. 2006, 53(7), pp 1425–1428. Pal, S. ; Uma Shankar, B. Segmentation of Remote Sensing Image with Fuzzy Thresholding, and Quantiative Index. Int. J. Remote Sensing 2000, 21(11), pp 2269–2300.

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