When dealing with complex problems, it is often the case that fuzzy systems must undergo an optimization process. During this process, the preservation of interpretability is a major concern. Here we present a new mathematical framework to analyze the notion of interpretability of a fuzzy partition, and a generic algorithm to preserve it. This approach is rather flexible and it helps to highly automatize the optimization process. Some tools come from the field of algebraic topology. © Springer International Publishing Switzerland 2014.
CITATION STYLE
de Aldama, R., & Aupetit, M. (2014). Interpretability in Fuzzy Systems Optimization: A Topological Approach. In Communications in Computer and Information Science (Vol. 442 CCIS, pp. 588–597). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_60
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