Abstract
Type-2 fuzzy sets and systems can better handle
uncertainties compared to its type-1 counterpart, and the widely
applied Mamdani and TSK fuzzy inference approaches have
been both extended to support interval type-2 fuzzy sets. Fuzzy
interpolation enhances the conventional Mamdani and TKS
fuzzy inference systems, which not only enables inferences
when inputs are not covered by an incomplete or sparse
rule base but also helps in system simplification for very
complex problems. This paper extends the recently proposed
fuzzy interpolation approach TSK+ to allow the utilization of
interval type-2 TSK fuzzy rule bases. One illustrative case based
on an example problem from the literature demonstrates the
working of the proposed system, and the application on the cart
centering problem reveals the power of the proposed system.
The experimental investigation confirmed that the proposed
approach is able to perform fuzzy inferences using either dense
or sparse interval type-2 TSK rule bases with promising results
generated.
uncertainties compared to its type-1 counterpart, and the widely
applied Mamdani and TSK fuzzy inference approaches have
been both extended to support interval type-2 fuzzy sets. Fuzzy
interpolation enhances the conventional Mamdani and TKS
fuzzy inference systems, which not only enables inferences
when inputs are not covered by an incomplete or sparse
rule base but also helps in system simplification for very
complex problems. This paper extends the recently proposed
fuzzy interpolation approach TSK+ to allow the utilization of
interval type-2 TSK fuzzy rule bases. One illustrative case based
on an example problem from the literature demonstrates the
working of the proposed system, and the application on the cart
centering problem reveals the power of the proposed system.
The experimental investigation confirmed that the proposed
approach is able to perform fuzzy inferences using either dense
or sparse interval type-2 TSK rule bases with promising results
generated.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
| Publisher | IEEE |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781509060207 |
| DOIs | |
| Publication status | Published - 15 Oct 2018 |
| Event | 2018 IEEE International Conference on Fuzzy Systems - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018 |
Conference
| Conference | 2018 IEEE International Conference on Fuzzy Systems |
|---|---|
| Abbreviated title | FUZZ- IEEE 2018 |
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 8/07/18 → 13/07/18 |