Modelling high-dimensional systems with fuzzy rules
| dc.contributor.author | Remache, Cherif | |
| dc.contributor.author | Maamri, Ramdane | |
| dc.contributor.author | Zaidi, Sahnoun | |
| dc.date.accessioned | 2022-04-27T05:17:07Z | |
| dc.date.available | 2022-04-27T05:17:07Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | The use of large number of variables to describe complex systems generates redundant elements and an excessive complexity with a poor transparency of the model describing the system. A particular interest is necessary to select relevant input variables to identify the input structure. We propose a method to select this structure in order to provide a compromise between the complexity, the transparency and the numerical accuracy of the studied model. | ar |
| dc.identifier.issn | 978-1-4799-3343-3 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/13018 | |
| dc.language.iso | en | ar |
| dc.publisher | IEEE | ar |
| dc.subject | Fuzzy rule | ar |
| dc.subject | Fuzzy inference system | ar |
| dc.subject | Interpretative rule | ar |
| dc.subject | Complex systems | ar |
| dc.subject | High-dimensional System | ar |
| dc.subject | Complexity reduction | ar |
| dc.title | Modelling high-dimensional systems with fuzzy rules | ar |
| dc.type | Article | ar |
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