Abstract
Nowadays, the control of Quality Management System (QMS) has become a major consideration in the businesses. Indeed, it has a large number of imprecise information and performance indicators inputs that must be managed. In this context, this paper proposes two approaches: Hierarchical Fuzzy Signature and Neuro-Fuzzy Hierarchical Hybrid able to control of QMS problem. These approaches has been validated on a real case and compared to Adaptive Neural Fuzzy Inference and Neuronal Network Systems in relation to learning phase.
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