Abstract
In this paper, a new approach for automatically generating linguistic descriptions by using residuated formal concept analysis is introduced and detailed. The main idea is to create a linguistic description from a database which has been previously transformed into a fuzzy formal context via a set of linguistic variables. From the obtained context, linguistic descriptions can be automatically generated through the information provided by the meet-irreducible concepts.
Partially supported by the the 2014–2020 ERDF Operational Programme in collaboration with the State Research Agency (AEI) in projects TIN2016-76653-P and PID2019-108991GB-I00, and with the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia in project FEDER-UCA18-108612, and by the European Cooperation in Science and Technology (COST) Action CA17124.
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Cornejo, M.E., Medina, J., Rubio-Manzano, C. (2022). Linguistic Descriptions of Data Via Fuzzy Formal Concept Analysis. In: Harmati, I.Á., Kóczy, L.T., Medina, J., Ramírez-Poussa, E. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems 3. Studies in Computational Intelligence, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-74970-5_14
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DOI: https://doi.org/10.1007/978-3-030-74970-5_14
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