Assessing the aggregation of parameterized imprecise classification
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Fuzzy Classification of Restored MRI Images
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Parameterized imprecise classification: elicitation and assessment
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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In this work we propose to use fuzzy prototypes for classification tasks. We create the prototypes by first clusterizing, separately, the available data for each class. Then we create a fuzzy set around each class center, according to clusterization indices that take into account both local and global data. We also investigate the use of an index to guide the process of obtaining a suitable number of clusters for posterior classification. We illustrate the approach using a simple example and show some results for some well-known data sets.