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Fuzzy inductive reasoning: a consolidated approach to data-driven construction of complex dynamical systems

Autor
Nebot, M.; Mugica, F.
Tipus d'activitat
Article en revista
Revista
International journal of general systems
Data de publicació
2012
Volum
41
Número
7
Pàgina inicial
645
Pàgina final
665
DOI
https://doi.org/10.1080/03081079.2012.691203 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/24006 Obrir en finestra nova
Resum
Fuzzy 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.
Citació
Nebot, 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.
Paraules clau
Complex dynamical systems, Fault detection and diagnostic systems, Fuzzy inductive reasoning, General systems problem solver
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing