Publication
Confidence measures for predictions in fuzzy inductive reasoning
Journal Article (2010)
Journal
International Journal of General Systems
Pages
839-853
Volume
39
Number
8
Doc link
http://dx.doi.org/10.1080/03081079.2010.506180
File
Authors
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Cellier, François E.
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López, Josefina
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Nebot Castells, M. Angela
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Cembrano Gennari, Gabriela
Projects associated
Abstract
This paper deals with the assessment of the reliability of predictions made in the context of the fuzzy inductive reasoning methodology. The reliability of predictions is assessed with of two separate confidence measures, a proximity and a similarity measures. A time series and a single-input/single-output system are used as two different applications to study the viability of these measures.
Categories
control theory.
Author keywords
qualitative modelling, qualitative simulation, fuzzy inductive reasoning, confidence measure, estimation of modelling error
Scientific reference
F.E. Cellier, J. López, M.A. Nebot and G. Cembrano. Confidence measures for predictions in fuzzy inductive reasoning. International Journal of General Systems, 39(8): 839-853, 2010.
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