Abstract
It is introduced a new concept: H-sets which generalises the notion of fuzzy sets and is based on the concept of hemilattice. Then, we extend the attribute-value conceptual spaces over hemilattices, which gives us a kind of H-set, and prove some of their properties.
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References
Birkoff G., Lattice Theory, 1973.
Gazdar Gerald, Mellish Chris, Natural Language Processing in LISP, 1989.
Mellish Chris, Term Encodable description spaces, Logic Programing:New Frontiers Ed. D.Borough, 1992.
Smolensky Peter, Tensor Product Variable Binding and reprezentation of symbolic structures in Connectionist Systems, Artificial Intelligence, 46, 1990.
Vaida Dragos, Algebric Models in Syntax,Semantics and Paralelism Graduate Course, University of Bucharest, 1994.
Yager Ronald, Dimitar Filev, Essential of Fuzzy Modelling and Control, 1992.
Zadeh Ltofi, Fuzzy sets, Information and Control, 8, 1965.
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© 1997 Springer-Verlag Berlin Heidelberg
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Adrian, S. (1997). Fuzzy modeling of conceptual spaces. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_119
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DOI: https://doi.org/10.1007/3-540-62868-1_119
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