Abstract
In previous works, we have developed some computational models of quasi-periodic phenomena based on Fuzzy Finite State Machines. Here, we extend this work to allow designers to obtain detailed linguistic descriptions of relevant amplitude and temporal changes. We include several examples that will help to understand and use this new resource for linguistic description of complex phenomena. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Sanchez-Valdes, D., & Trivino, G. (2013). Increasing the granularity degree in linguistic descriptions of quasi-periodic phenomena. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8132 LNAI, pp. 281–292). https://doi.org/10.1007/978-3-642-40769-7_25
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