Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 345-355 |
| Number of pages | 11 |
| Journal | Advances in Intelligent Systems and Computing |
| Volume | 323 |
| DOIs | |
| Publication status | Published - 2015 |
Keywords
- Dempster-shafer theory of evidence
- Diagnosis Support
- Fuzzy sets
ASJC Scopus subject areas
- Control and Systems Engineering
- General Computer Science
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