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Optimization of fuzzy rule sets using a bacterial evolutionary algorithm
dc.contributor.author | Drobics, Mario |
dc.contributor.author | Botzheim, J. |
dc.date.accessioned | 2013-04-12T19:10:10Z |
dc.date.available | 2013-04-12T19:10:10Z |
dc.date.issued | 2008 |
dc.identifier.citation | Drobics, Mario; Botzheim, J. Optimization of fuzzy rule sets using a bacterial evolutionary algorithm. "Mathware & Soft Computing", vol. 15, núm. 1, p. 21-40. |
dc.identifier.issn | 1134-5632 |
dc.identifier.uri | http://hdl.handle.net/2099/13175 |
dc.description.abstract | In this paper we present a novel approach where we rst create a large set of (possibly) redundant rules using inductive rule learning and where we use a bacterial evolutionary algorithm to identify the best subset of rules in a subsequent step. This enables us to nd an optimal rule set with respect to a freely de nable global goal function, which gives us the possibility to integrate interpretability related quality criteria explicitly in the goal function and to consider the interplay of the overlapping fuzzy rules |
dc.format.extent | 20 p. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica |
dc.relation.ispartof | Mathware & Soft Computing. 2008, vol. 15, núm. 1 |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Informàtica teórica |
dc.subject.lcsh | Artificial intelligence |
dc.title | Optimization of fuzzy rule sets using a bacterial evolutionary algorithm |
dc.type | Article |
dc.subject.lemac | Intel•ligència artificial |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::68 Computer science::68T Artificial intelligence |
dc.rights.access | Open Access |
local.citation.author | Drobics, Mario; Botzheim, J. |
local.citation.publicationName | Mathware & Soft Computing |
local.citation.volume | 15 |
local.citation.number | 1 |
local.citation.startingPage | 21 |
local.citation.endingPage | 40 |