Abstract
This paper proposes a novel approach for modelling complex interconnected systems by means of fuzzy networks with feedback rule bases. The nodes in these networks are rule bases connected in a feedback manner whereby outputs from some rule bases are fed as inputs to the same or preceding rule bases. The approach allows any fuzzy network of this type to be presented as an equivalent fuzzy system by linguistic composition of its nodes. The composition process makes use of formal models for fuzzy networks, basic operations in such networks, their properties and advanced operations. These models, operations and properties are used for defining several types of networks with single or multiple local and global feedback. The proposed approach facilitates the understanding of complex interconnected systems by improving the transparency of their models.
| Original language | English |
|---|---|
| Pages (from-to) | 211-225 |
| Number of pages | 15 |
| Journal | International Journal of Knowledge-Based and Intelligent Engineering Systems |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 31 Oct 2017 |
Keywords
- fuzzy modelling
- decision support systems
- financial modelling
- linguistic modelling
- feedback connections
- complex systems