Aggregation tools for the evaluation of classifications
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2017
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IEEE
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Castiblanco, F., Gomez, D., Montero, J., Rodriguez, J.T.: Aggregation tools for the evaluation of classifications. En: 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS). pp. 1-5. IEEE, Otsu, Japan (2017)
Abstract
This paper focuses on key issues related to aggregation tools within knowledge acquisition, and in particular for image processing. In particular, it is claimed the need of a number of simultaneous indices in order to evaluate the quality of a fuzzy classification (e.g., overlapping, covering and relevance), and that such a family of indices should allow learning, giving a hint on how such a classification can be improved. Our guess is that those indices can be obtained from certain families of well-known aggregation tools.