Abstract
The aim of this contribution is to point out the
importance of interpretability of fuzzy rule-based
systems. We try to approach this key property
axiomatically, as a starting point, restricting to
interpretability of linguistic variables (in Zadeh's
sense). The proposed approach is underlined with an
intuitive example. Finally, the benefits of considering
interpretability in design and tuning of fuzzy systems
are discussed.
| Original language | English |
|---|---|
| Title of host publication | Proc. 6th Int. Conf on Soft Computing (IIZUKA2000) |
| Pages | 334-339 |
| Number of pages | 6 |
| Publication status | Published - Oct 2000 |
Fields of science
- 101 Mathematics
- 101004 Biomathematics
- 101027 Dynamical systems
- 101013 Mathematical logic
- 101028 Mathematical modelling
- 101014 Numerical mathematics
- 101020 Technical mathematics
- 101024 Probability theory
- 102001 Artificial intelligence
- 102003 Image processing
- 102009 Computer simulation
- 102019 Machine learning
- 102023 Supercomputing
- 202027 Mechatronics
- 206001 Biomedical engineering
- 206003 Medical physics
- 102035 Data science