Abstract
The main idea of this article is to prepare the model of the expert system, which will perform the presumptive diagnosis of two diseases of urinary system. This is an example of the rough sets theory application to generate the set of decision rules in order to solve a medical problem. The lower and upper approximations of decision concepts and their boundary regions have been formulated here. The quality and accuracy control for approximations of decision concepts family has been provided as well. Also, the absolute reducts of the condition attributes set have been separated Moreover, the certainty, support and strength factors for all of the rules have been precisely calculated. At the end of the article, the author has also shown the reverse decision algorithm.
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Czerniak, J., Zarzycki, H. (2003). Application of rough sets in the presumptive diagnosis of urinary system diseases. In: Sołdek, J., Drobiazgiewicz, L. (eds) Artificial Intelligence and Security in Computing Systems. The Springer International Series in Engineering and Computer Science, vol 752. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9226-0_5
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DOI: https://doi.org/10.1007/978-1-4419-9226-0_5
Publisher Name: Springer, Boston, MA
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