Abstract
This contribution is intended as a position paper that favors the
viewpoint that inference based on deductive rules (i.e., the rules
are interpreted using fuzzy implication) can indeed be considered as
a valuable inference scheme in real-world applications. For this
purpose, we highlight the basic concepts behind the most common fuzzy
inference schemes and demonstrate their interpretation by means of
illustrative examples. We conclude that, under some reasonable
conditions, deductive inference is able to compete with or even
outperform the well-known Mamdani-Assilian inference.
| Original language | English |
|---|---|
| Title of host publication | Proc. 16th IEEE Int. Conf. on Fuzzy Systems |
| Pages | 15671572 |
| Number of pages | 6 |
| Publication status | Published - Jul 2007 |
Fields of science
- 101004 Biomathematics
- 101027 Dynamical systems
- 101028 Mathematical modelling
- 101029 Mathematical statistics
- 101014 Numerical mathematics
- 101015 Operations research
- 101016 Optimisation
- 101017 Game theory
- 101018 Statistics
- 101019 Stochastics
- 101024 Probability theory
- 101026 Time series analysis
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 102018 Artificial neural networks
- 102019 Machine learning
- 103029 Statistical physics
- 106005 Bioinformatics
- 106007 Biostatistics
- 202017 Embedded systems
- 202035 Robotics
- 202036 Sensor systems
- 202037 Signal processing
- 305901 Computer-aided diagnosis and therapy
- 305905 Medical informatics
- 305907 Medical statistics
- 102032 Computational intelligence
- 102033 Data mining
- 101031 Approximation theory