Abstract
Objects in an information system analyzed by the rough sets theory methods are characterized by attributes, which can take on a finite set of values only. In diagnostic experiments, condition attributes are usually treated as continuous variables, taking values from certain intervals. So, to use this theory in such problems, certain discretization (coding) of continuous variables is needed. The optimal classification properties of an information system were taken by the authors as base criteria for selecting discretization. The concepts of a random information system and of an expected value of classification quality were introduced. The method of finding suboptimal discretizations based on these concepts is presented and is illustrated with data from concretes’ frost resistance investigations.
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References
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© 1992 Springer Science+Business Media Dordrecht
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Lenarcik, A., Piasta, Z. (1992). Discretization of Condition Attributes Space. In: Słowiński, R. (eds) Intelligent Decision Support. Theory and Decision Library, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7975-9_23
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DOI: https://doi.org/10.1007/978-94-015-7975-9_23
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4194-4
Online ISBN: 978-94-015-7975-9
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