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Unified analysis and design of ART/SOM neural networks and fuzzy inference systems based on lattice theory

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4507 LNCS 80-93
DOI: 10.1007/978-3-540-73007-1_11
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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. © Springer-Verlag Berlin Heidelberg 2007.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4507 LNCS, pp. 80–93). Springer Verlag. https://doi.org/10.1007/978-3-540-73007-1_11

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