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A multistage recognition approach is advanced for poorly classified clusters. According to this approach, if a sample is related to a cluster that is common for several samples, then further object recognition (within that cluster) is possible. Such two-stage recognition procedure is based, at each stage, on the fuzzy logic concept and enables one to perform practically complete recognition of all the samples under consideration.

Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components