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Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets

In this paper authors propose a new algorithm for linguistic data summarization based on hybridization of rough sets and fuzzy sets techniques. The new algorithm applies rough sets theory for feature selection in early stages of linguistic summaries’ generation. The rough sets theory was used to red...

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Dades bibliogràfiques
Publicat a:Rough Sets
Autors principals: Pérez Pupo, Iliana, Piñero Pérez, Pedro Y., Bello, Rafael, Acuña, Luis Alvarado, García Vacacela, Roberto
Format: Artigo
Idioma:Inglês
Publicat: 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7338181/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-52705-1_29
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