Abstract
The paper deals with a problem of modeling of fuzzy systems in random environments. A model is proposed that is capable of handling two distinct forms of imprecision, viz. randomness and fuzziness. The model is required to cope with both of them while modeling a variety of problems in management, medical diagnosis, and unsupervised pattern recognition. The models proposed in the paper are constructed and evaluated in a formal framework established by fuzzy relation equations. Randomness is introduced as additional constraints imposed on the structure of the fuzzy relation equation (hence: structured fuzzy models). The forecasting (prediction) problem is studied in detail.
| Original language | English |
|---|---|
| Pages (from-to) | 103-117 |
| Number of pages | 15 |
| Journal | Cybernetics and Systems |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1985 |
ASJC Scopus subject areas
- Software
- Information Systems
- Artificial Intelligence
Fingerprint
Dive into the research topics of 'Structured fuzzy models'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver