Abstract
Fuzzy interval numbers (FINs, for short) is a unifying data representation analyzable in the context of lattice theory. This work shows how FINs improve the design of popular neural/fuzzy paradigms.
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Kaburlasos, V.G. (2007). Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_11
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DOI: https://doi.org/10.1007/978-3-540-73007-1_11
Publisher Name: Springer, Berlin, Heidelberg
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