Abstract
The most attractive feature of the fuzzy theory to biological science researchers is the simplicity of fuzzy mathematical expression, which is extremely useful for reasoning the problem and for controlling the process in biological areas where precise mathematical models can hardly be developed. In this review, recent progress of fuzzy theory in biomedical science is illustrated in four areas: device control, biological control, classification and pattern recognition, and prediction and association.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 209-217 |
| Number of pages | 9 |
| Journal | International Journal of General Systems |
| Volume | 30 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2001 |
Keywords
- Biological control
- Biomedical applications
- Device control
- Fuzzy systems
- Pattern recognition
- Prediction
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Computer Science Applications