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dc.contributor.authorNebot Castells, M. Àngela
dc.contributor.authorMúgica Álvarez, Francisco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2014-09-09T08:54:01Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationNebot, M.; Múgica, F. Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems. "International journal of general systems", 2012, vol. 41, núm. 7, p. 645-665.
dc.identifier.issn0308-1079
dc.identifier.urihttp://hdl.handle.net/2117/24006
dc.description.abstractFuzzy inductive reasoning (FIR) is a modelling and simulation methodology derived from the General Systems Problem Solver. It compares favourably with other soft computing methodologies, such as neural networks, genetic or neuro-fuzzy systems, and with hard computing methodologies, such as AR, ARIMA, or NARMAX, when it is used to predict future behaviour of different kinds of systems. This paper contains an overview of the FIR methodology, its historical background, and its evolution.
dc.format.extent21 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshDecision support systems
dc.subject.lcshSoft computing
dc.subject.otherFuzzy inductive reasoning
dc.subject.otherGeneral systems problem solver
dc.subject.otherComplex dynamical systems
dc.subject.otherFault detection and diagnostic systems
dc.titleFuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems
dc.typeArticle
dc.subject.lemacSistemes d'ajuda a la decisió
dc.subject.lemacInformàtica tova
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.identifier.doi10.1080/03081079.2012.691203
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11671285
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorNebot, M.; Múgica, F.
local.citation.publicationNameInternational journal of general systems
local.citation.volume41
local.citation.number7
local.citation.startingPage645
local.citation.endingPage665


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