Abstract
In this paper, we propose a fuzzy diagnostic method based on interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interval-valued interview chart with interval fuzzy degree assigned to the relation among symptoms and diseases, and utilized the interval-valued intuitionistic fuzzy weighted arithmetic average operator to aggregate fuzzy information from the symptoms. In addition, we suggest a diagnosis measure using the occurrence proportion of patient's symptoms. Finally, an illustrative example is given to demonstrate its practicality and effectiveness.
| Original language | English |
|---|---|
| Pages (from-to) | 349-354 |
| Number of pages | 6 |
| Journal | Biomedical Engineering - Applications, Basis and Communications |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2012.08 |
Keywords
- Fuzzy differential diagnosis
- Interval-valued fuzzy sets
- Interview chart
- Occurrence information of symptoms
Quacquarelli Symonds(QS) Subject Topics
- Engineering - Chemical
- Biological Sciences
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