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Aggregation tools for the evaluation of classifications

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Castiblanco, Fabian and Gomez, D. and Montero, Javier and Rodríguez, Juan Tinguaro (2017) Aggregation tools for the evaluation of classifications. In Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), 2017 Joint 17th World Congress of International. IEEE, Otsu, Japan, pp. 1-5. ISBN 978-1-5090-4917-2

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Official URL: http://ieeexplore.ieee.org/document/8023242/


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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.


Item Type:Book Section
Uncontrolled Keywords:Aggregation functions; Overlap functions; Grouping functions; Classification; Paired fuzzy sets.
Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:44889
Deposited On:04 Oct 2017 15:07
Last Modified:05 Oct 2017 08:10

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