Ngo, L.T. (2013) Grid-based general type-2 fuzzy logic systems based on GPU computing. In: 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013, 7 July 2013 through 10 July 2013, Hyderabad.
Grid-based general type-2 fuzzy logic systems based on GPU computing.pdf
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Abstract
The advances of nVIDIAs computing technology allow to deploy of general purpose high performance applications of Graphic Processing Units (GPU) by parallelizing algorithms. Based on the grid-based representation of T2FS, the paper deals with an approach to computational process of general type-2 fuzzy logic systems based on Grid T2FS for GPU platforms. Experiments are implemented in various applications to show that the representation are suitable to speed-up general type-2 fuzzy logic systems on GPU platform. © 2013 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/FUZZ-IEEE.2013.6622429 |
| Uncontrolled Keywords: | Defuzzifications; General type-2 fuzzy; Graphic processing units; Type-2 fuzzy; Type-2 fuzzy set; Fuzzy logic; Fuzzy sets; Fuzzy systems; Computer graphics equipment |
| Additional Information: | Conference code: 100793. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/10047 |
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