Abstract
As a generalization of the L-fuzzy contexts, we propose the study of the L-fuzzy hypercontexts where the relation R between the objects X and the attributes Y takes as values other L-fuzzy relations. In this work, we propose the study of these structures using OWA operators in different situations. Finally, the practical case that has motivated this paper is analyzed.
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Acknowledgements
This paper is partially supported by the Research Group “Intelligent Systems and Energy (SI+E)” of the Basque Government, under Grant IT677-13 and by the Research Group “Artificial Intelligence and Approximate Reasoning” of the Public University of Navarra, under TIN2013-40765-P.
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Alcalde, C., Burusco, A. (2016). Knowledge Extraction from L-Fuzzy Hypercontexts. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-40581-0_2
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DOI: https://doi.org/10.1007/978-3-319-40581-0_2
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