Abstract
This paper considers the analysis of decision system properties basing on the rough sets theory. Investigation of human operator’s decision model in dynamic processes is discussed. Extensions of the basic rough sets theory are presented, which are useful in case of analysing inconsistent decision tables. Rough sets aided research of data sets properties, in order to facilitate the synthesis of feedforward neural networks, is proposed. Examples based on real data are given.
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Mieszkowicz-Rolka, A., Rolka, L. (2003). Studying System Properties with Rough Sets. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Dongarra, J.J., Zomaya, A.Y., Gorbachev, Y.E. (eds) Computational Science — ICCS 2003. ICCS 2003. Lecture Notes in Computer Science, vol 2657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44860-8_12
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DOI: https://doi.org/10.1007/3-540-44860-8_12
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