Abstract
Intelligent diagnosis systems plays very important role in the medical field and particularly in diagnosis and classification of neuromuscular diseases (NMD). In such a field where uncertainty is always present, classical techniques of classification show a lack of efficiency thus leading to erroneous results. Fuzzy logic proved to be a suitable method for classification problems, particularly in NMDs. This paper aims to present a fuzzy logic based system for the classification of seven types of neuromuscular diseases at first level and classification of eight types of muscular dystrophy diseases at second level. The obtained results have shown good performance of the designed classifier.
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