Extracting relevant information from input-output data
| dc.contributor | Universitat Ramon Llull. La Salle | |
| dc.contributor.author | Garriga Berga, Carles | |
| dc.date.accessioned | 2021-05-07T04:21:28Z | |
| dc.date.accessioned | 2023-07-13T09:52:15Z | |
| dc.date.available | 2021-05-07T04:21:28Z | |
| dc.date.available | 2023-07-13T09:52:15Z | |
| dc.date.created | 2001-10 | |
| dc.date.issued | 2001-10 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14342/2906 | |
| dc.description.abstract | In this paper a set of heuristic criteria devised to address the problems encountered in designing a fuzzy system from input-output data is presented. In particular, we show how to discriminate unsignificant linguistic variables, determine the number of fuzzy sets, place them in the universe of scope, and propose a set of linguistic rules. The objective is to obtain in a simple and fast manner an algorithm simpler than the standard ones with mínimum computational cost but still similar performance and more intelligibility in most cases. | eng |
| dc.format.extent | 8 p. | cat |
| dc.language.iso | eng | cat |
| dc.relation.ispartof | 4rt Congrés Català d'Intel.ligència Artificial, Barcelona, 24-25 d'octubre de 2001 | cat |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights | © ACIA | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | RECERCAT (Dipòsit de la Recerca de Catalunya) | |
| dc.subject.other | Intel·ligència artificial -- Aplicacions a l'enginyeria | cat |
| dc.title | Extracting relevant information from input-output data | cat |
| dc.type | info:eu-repo/semantics/conferenceObject | cat |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | cat |
| dc.subject.udc | 004 | |
| dc.subject.udc | 62 |
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