Mohamed Saïd Bouguelid

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Our team of research works on diagnosis by pattern recognition using Fuzzy Pattern Matching (FPM) as a classification method, for data coming from industrial and medical sectors. FPM uses a transformation from probability to possibility in order to construct densities of possibilities. These densities are used to assign each new sample to its suitable class(More)
We use the classification method Fuzzy Pattern Matching (FPM) to realize the industrial and medical diagnosis. FPM is marginal, i.e., its global decision is based on the selection of one of the intermediate decisions. Each intermediate decision is based on one attribute. Thus, FPM does not take into account the correlation between attributes. Additionally,(More)
We use the classification method Fuzzy Pattern Matching (FPM) to realize the industrial and medical diagnosis. FPM is decentralized, i.e., its global decision is based on the selection of one of the intermediate decisions. Each intermediate decision is based on one attribute. Thus, FPM does not take into account the correlation between attributes.(More)
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