Abstract
Modified Rough Sets (MRS)-based diagnostic systems eliminated many of the limitations of Rough Sets (RS)-based, statistical-based, and decision tree-based systems and because of that, they have a better performance. In contrast with the other systems, MRS-based diagnostic systems have potential to handle Multi-Decision Approximate (MDA) rules. In this paper, we (1) develop a diagnostic model based on MDA rules and (2) evaluate the classification power of the model.
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