Abstract
The paper is stressing one of the fundamental sides of the fuzzy sets: the interpolative one. Since any fuzzy controller can be approximated by a corresponding interpolative one, the linear interpolations can be fully applied in almost any fuzzy sets appli cation: in the elaboration of the control rules as well as in the implementa tions. On the other hand the interpolative implementa tions are very feasible in almost any possible technology. That is why the paper is presenting a methodology that takes advantage of the fuzzy linguistic conception and the inter polative implementa tion in the same time. A case study focused on a car following algorithm is illustrating the fuzzy-interpolative methodology.
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Balas, M.M. (2009). The Fuzzy-Interpolative Methodology. In: Balas, V.E., Fodor, J., Várkonyi-Kóczy, A.R. (eds) Soft Computing Based Modeling in Intelligent Systems. Studies in Computational Intelligence, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00448-3_8
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DOI: https://doi.org/10.1007/978-3-642-00448-3_8
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