Abstract
In this paper, a multi-expert classification system (MECS), composed of two main parts performing the so-called multi-stage classification (MSC) and multi-expert classification (MEC), is proposed. The former (MSC) produces either correct decisions or the ”I do not know” (IDNK) answers, so there are not misclassifications. The latter (MEC) is a parallel system that includes different classifiers, for the objects not classified by the MSC system (resulting in the IDNK answers). A medical diagnosis example illustrates the perception-based approach employed in the MSC system, and the need for application of the MEC system.
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Rutkowska, D. (2004). Multi-expert Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_85
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DOI: https://doi.org/10.1007/978-3-540-24669-5_85
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