Abstract
In this article, we revisit the concept of Goldman’s fuzzy testor and re-study it from the perspective of the conceptual approach to attribute reduct introduced by Y.Y. Yao in the framework of Rough Set Theory. We reformulate the original concept of Goldman’s fuzzy testor and we introduce the Goldman’s fuzzy reducts. Additionally, in order to show the usefulness of the Goldman’s fuzzy reducts, we build a rule based classifier and evaluate its performance in a case of study.
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CITATION STYLE
Lazo-Cortés, M. S., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A. (2016). A glance to the goldman’s testors from the point of view of rough set theory. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9703, pp. 189–197). Springer Verlag. https://doi.org/10.1007/978-3-319-39393-3_19
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