In the paper the problem of norm limits of laboratory tests used in probabilistic and fuzzy approach to diagnosis support is discussed. The fuzzy approach is proposed as the Dempster-Shafer theory extended for fuzzy focal elements. A simple diagnostic problem is simulated for the both approaches and results are commented. Conclusions from the simulation are used to determine the set of rules for a benchmark database. Both the simulation and calculations for the benchmark confirm that a fuzzy interpretation of norm limits can improve a diagnosis.
CITATION STYLE
Straszecka, E. (2015). On advantages of a fuzzy approach to a diagnosis support. Advances in Intelligent Systems and Computing, 323, 345–355. https://doi.org/10.1007/978-3-319-11310-4_30
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