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Annals of Computer Science and Information Systems, Volume 9

Position Papers of the 2016 Federated Conference on Computer Science and Information Systems

Computing the minimal solutions of finite fuzzy relation equations on lineal carriers

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DOI: http://dx.doi.org/10.15439/2016F564

Citation: Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 9, pages 19–23 ()

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Abstract. Fuzzy relation equation is a important tool for managing and modeling uncertain or imprecise datasets, which has useful applied to, e.g. approximate reasoning, time series forecast, decision making, fuzzy control, etc. This paper introduces a mechanism in order to compute the minimal solutions of a considered general fuzzy relation equation. The corresponding algorithms and different illustrative examples have also presented.

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