Titlebook: Rough Sets and Current Trends in Computing; 6th International Co Chien-Chung Chan,Jerzy W. Grzymala-Busse,Wojciech Conference proceedings

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On Rough Equalities and Rough Equivalences of Setsl set theory. In this article, we make further study of the properties of rough equalities. A more general kind of equality of sets (we call it rough equivalence) shall be introduced, which captures equalities of sets at a higher level than rough equalities. Many properties of this new notion and it

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Natural versus Granular Computing: Classifiers from Granular Structuresribute–value formulas. This representation gives rise to a calculus in terms of descriptors which we call a .. In some recent papers, the idea of L. Polkowski of computing with granules induced from similarity measures called rough inclusions have been tested. In this work, we pursue this topic and

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Inducing Better Rule Sets by Adding Missing Attribute Valuese better rule sets (in terms of an error rate) by increasing incompleteness (i.e., removing some existing attribute values) of the original data sets. In this paper we present detailed results of experiments on one data set, showing that some rule sets induced from incomplete data sets are significa

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