Download e-book for kindle: 24.Fuzzy Systems by John G. Webster (Editor)

By John G. Webster (Editor)

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4. Fu, K. S. Syntactic Pattern Recognition and Application; Academic Press: London, 1982. 5. Murthy, C. A. D Thesis, Indian Statistical Institute, Calcutta, 1988. 6. ; Kirkpatrik, D. ; Seidel, R. On the Shape of a Set of Points in a Plane. IEEE Trans. Inform. Theory, 1983, 29, p 551. 7. Tousant, G. T. Proc. 5th Int. Conf. Patt. Recog. Miami Beach, FL, 1980, pp 1324–1347. 8. Mandal, D. ; Murthy, C. ; Pal, S. K. Determining the Shape of a Pattern Class From Sampled Points in R2 . Int. J. General Syst.

The database object T ϭ [Bob 30–35] could represent six real-world objects (one for each year in the age range). A query Q places each database object in one of three categories. T ∈ {surely set} T ∈ {possible set} T ∈ {eliminated set} if Q ⊃ T if Q ∩ T = if Q ∩ T = For instance, the query, EMPLOYEE [AGE Ͼ 32], places T in the possible set, while EMPLOYEE [AGE Ͼ 25] ٚ EMPLOYEE [AGE Ͻ 40] places T in the surely set. The first two categories are also known as the lower value ʈQʈ* and upper value ʈQʈ*, and these limiting interpretations are characterized in this approach.

123. ; Zhang, M. Fuzzy-ART Based Adaptive Digital Watermarking Scheme. IEEE Trans. Circuits Syst. Video Technol. 2005, 15(1), pp 65–81. 124. Mercer, R. ; Barron, J. ; Bruen, A. ; Cheng, D. Fuzzy Points: Algebra and Applications. Pattern Recog. 2002, 35(5), pp 1153–1166. 125. -S. A Unified Framework to Incorporate Soft Query into Image Retrieval Systems, Proc. International Conference on Enterprise Information Systems; Setbal, Portugal, July 2001, pp 216–224. 126. ; Detyniecki, M. STRICT: An Image retrieval Platform for queries Based on Regional Content Proc.

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

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