Abstract
This paper introduces the Hilbert Space-Filling Curves SFC and outlines algorithms, which demonstrate the SFC efficient self-organizing features. We then propose a SFC fuzzy model based on clustering the object space. The SFC fuzzy model is utilized to construct a fuzzy feedback controller. It is shown that the self-replicating feature of SFC can be utilized to construct successively improving control strategies based on symmetric decision trees. The proposed SFC technique achieves a dramatic reduction in the complexity of fuzzy controllers by reducing the multi-dimensional fuzzification problem to aone-dimensional space.
| Original language | English |
|---|---|
| Pages (from-to) | 145-157 |
| Number of pages | 13 |
| Journal | Intelligent Automation and Soft Computing |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Jan 2001 |
| Externally published | Yes |
Keywords
- Artificial Intelligence
- Fuzzy Control
- Fuzzy Logic
- Nonlinear systems
- Space-filling curves
- Vector Quantization
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Computational Theory and Mathematics
- Artificial Intelligence