Ngo, L.T. and Vu, M.N. and Hirota, K. (2013) Interpolative reasoning approach to sparse general type-2 fuzzy rules based on the reduced grid representation. In: 2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013, 15 December 2013 through 18 December 2013.
Interpolative reasoning approach to sparse general type-2 fuzzy rules based on the reduced grid representation.pdf
Download (721kB) | Preview
Abstract
Interpolative reasoning is one of the most interested problems with various approaches for type-1 fuzzy sets, interval type-2 fuzzy sets, recently. However, the related methods have not mentioned general type-2 fuzzy sets yet because of their computational complexity. The paper deals with an approach to representation theorem of general type-2 fuzzy sets using the reduced grid. A computational schema for interpolative reasoning of sparse general type-2 fuzzy rules is also introduced. This schema is not depended on the shape of membership functions. Beside, the parallelizing schema for GPU platform is proposed to speedup the algorithms. The proposed methods are implemented on both of GPU and CPU platforms with various membership functions. © 2013 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/SOCPAR.2013.7054104 |
| Uncontrolled Keywords: | Fuzzy inference; Fuzzy rules; Fuzzy sets; Pattern recognition; Soft computing; General type-2 fuzzy; General type-2 fuzzy sets; GPU parallel computing; Interpolative reasoning; Interval type-2 fuzzy sets; Parallelizing; Representation theorem; Type-1 fuzzy sets; Membership functions |
| Additional Information: | Conference code: 111424. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10072 |
Actions (login required)
- View Item