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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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https://hal.inria.fr/hal-00777556
Contributor : Qinghua Zhang <>
Submitted on : Thursday, January 17, 2013 - 4:19:23 PM
Last modification on : Tuesday, June 11, 2019 - 3:38:27 PM

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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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