Castiblanco, FabianGómez González, DanielMontero De Juan, Francisco JavierRodríguez González, Juan Tinguaro2023-06-182023-06-182017Castiblanco, 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)978-1-5090-4917-210.1109/IFSA-SCIS.2017.8023242https://hdl.handle.net/20.500.14352/19471This 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.engbook parthttps//doi.org/10.1109/IFSA-SCIS.2017.8023242http://ieeexplore.ieee.org/document/8023242/restricted access510.6Aggregation functionsOverlap functionsGrouping functionsClassificationPaired fuzzy setsLógica simbólica y matemática (Matemáticas)1102.14 Lógica Simbólica