Fuzzy model validation using the local statistical approach

Abstract : The local statistical approach for fault detection and isolation is applied to fuzzy models validation. The method detects the inconsistencies between a fuzzy rule base and the modelled system. It can also identify which are the faulty parameters of the fuzzy model. The Fisher information matrix explains the detectability of changes in the parameters of the fuzzy model. Simulation tests illustrate the method's credibility.
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Article dans une revue
Fuzzy Sets and Systems, Elsevier, 2009, 160 (7), pp.882-904. 〈10.1016/j.fss.2008.07.008〉
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https://hal.inria.fr/hal-00777556
Contributeur : Qinghua Zhang <>
Soumis le : jeudi 17 janvier 2013 - 16:19:23
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Gerasimos Rigatos, Qinghua Zhang. Fuzzy model validation using the local statistical approach. Fuzzy Sets and Systems, Elsevier, 2009, 160 (7), pp.882-904. 〈10.1016/j.fss.2008.07.008〉. 〈hal-00777556〉

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