Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox

Author:

Peters James F.

Publisher

Springer Berlin Heidelberg

Reference33 articles.

1. Grimaldi, D., Engel, M.: Evolution of the Insects. Cambridge University Press, Cambridge (2005)

2. Gupta, S., Patnaik, K.: Enhancing performance of face recognition system by using near set approach for selecting facial features. Journal of Theoretical and Applied Information Technology 4(5), 433–441 (2008), http://www.jatit.org/volumes/fourth_volume_5_2008.php

3. Hassanien, A., Abraham, A., Peters, J., Schaefer, G.: Rough sets and near sets in medical imaging: A review. IEEE Trans. on Information Technology in Biomedicine (submitted) (2008)

4. Lecture Notes in Computer Science;C. Henry,2007

5. Henry, C., Peters, J.: Near set image segmentation quality index. In: GEOBIA 2008 Pixels, Objects, Intelligence. GEOgraphic Object Based Image Analysis for the 21st Century, pp. 284–289. University of Calgary, Alberta (2008), http://www.ucalgary.ca/geobia/Publishing

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