Abstract
Compatibility modification inference alters the consequent of a rule based on the compatibility of the antecedent with the input. Classically, set theoretic measures are used to assess the compatibility. Geometric plausible inference employs the dissemblance index to produce a metric compatibility measure. This type of inference utilizes graduality of nearness. Two approaches to geometric plausible inference are described and compared with other inference techniques using graduality.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference |
| Publisher | IEEE |
| Pages | 452-455 |
| Number of pages | 4 |
| ISBN (Electronic) | 0-7803-1896-X |
| DOIs | |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: Jun 26 1994 → Jun 29 1994 |
Conference
| Conference | Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| City | Orlando, FL, USA |
| Period | 6/26/94 → 6/29/94 |
ASJC Scopus Subject Areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics
Keywords
- Computer science
- Fuzzy control
- Fuzzy reasoning
- Fuzzy sets
- Fuzzy systems
- Information analysis
- Knowledge based systems
Disciplines
- Computer Sciences
- Engineering
- Mathematics