Hierarchical fuzzy Petri nets and α-level sets inference
✍ Scribed by Heloisa Camargo; Fernando Gomide
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 169 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0884-8173
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✦ Synopsis
The work developed in this paper focuses the representations of ␣-level sets inference using the Hierarchical High Level Fuzzy Petri Nets. The basic hierarchical construct used is the substitution of transitions. The modeling process is carried out defining one non-hierarchical HLFPN called page, that models the general operation and having different instances of the page for each one of the intervals representing the ␣ sets. The concepts of HLFPN and Hierarchical HLFPN proposed earlier are reviewed, as well as the ability to model fuzzy rule based systems in a compact form provided by the hierarchical constructs and pages. The inference method based on ␣-level sets, adopted in this work is also described. The convenience of applying Hierarchical HLFPN to the modeling of ␣-sets inference is discussed using a basic inference pattern with fuzzy rules.