Abstract
We study the problem of incomplete data in Formal Concept Analysis in fuzzy setting, namely the problem of constructing a concept lattice of incomplete data. We develop a simple general framework for dealing with unknown values in fuzzy logic, define incomplete fuzzy formal contexts, and present a method of constructing concept lattices of such contexts.
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Krupka, M., Laštovička, J. (2012). Fuzzy Concept Lattices with Incomplete Knowledge. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31718-7_18
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DOI: https://doi.org/10.1007/978-3-642-31718-7_18
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