Abstract
There is no established formal framework for expert systems based on weighted IF-THEN rules. We discuss three mathematical models that have been recently proposed by the authors for CADIAG-2---a well-known system of this kind. The three frameworks are based on fuzzy logics, probability theory and possibilistic logic, respectively. CADIAG-2 is used here as a case study to evaluate these frameworks. We point out their use, advantages and disadvantages.
In addition, the described models provide insight into various aspects of CADIAG-2.
| Original language | English |
|---|---|
| Pages (from-to) | 132 - 148 |
| Number of pages | 17 |
| Journal | International Journal of Approximate Reasoning |
| Volume | 54 |
| DOIs | |
| Publication status | Published - 2013 |
Fields of science
- 101001 Algebra
- 101 Mathematics
- 102 Computer Sciences
- 101013 Mathematical logic
- 101020 Technical mathematics
- 102001 Artificial intelligence
- 102003 Image processing
- 202027 Mechatronics
- 101019 Stochastics
- 211913 Quality assurance
JKU Focus areas
- Computation in Informatics and Mathematics
- Mechatronics and Information Processing
- Nano-, Bio- and Polymer-Systems: From Structure to Function