Fourier series-based automatic generation system and method for multi-variable fuzzy systems
US6735581B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2001 |
| Grant date | May 11, 2004 |
| Priority date | — |
| Expiry date | Apr 18, 2022 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of automatically generating a multi-variable fuzzy inference system using a Fourier series expansion. Sample sets are decomposed into a cluster of sample sets associated with given input variables. Fuzzy rules and membership functions are computed individually for each variable by solving a single input multiple outputs fuzzy system extracted from the set cluster. The resulting fuzzy rules and membership functions are composed and integrated back into the fuzzy system appropriate for the original sample set with a minimal computational cost. In addition, an overall system error can be related to errors at each stage of decomposition and composition, enabling error bounds or accuracy thresholds for each stage to be specified and ensuring the final precision of the resulting fuzzy system on the original sample set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.