Confidence Measures for Predictions in Fuzzy Inductive Reasoning

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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 by means of two separate confidence measures, a proximity measure and a similarity measure. A time series and a single-input/single-output system are used as two different applications to study the viability of these confidence measures.

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Last modified: August 1, 2010 -- © François Cellier