Djazia Hamdan
ABSTRACT
With the increasing of biomedical research, Medical databases have become extremely large so the taken decision. In addition the statistical calculation of researcher becomes complicated in a large database where the manual summary of big data is slow and expensive so the automated solutions are needed. Our contribution is to create a linguistic summary of database Medical intelligent and flexible.
In our article, we use a linguistic summary of the digital database Pima indina diabete by a method proposed by Pard and Duboi. This linguistic summary is interpretable and intelligent because it uses the concept of fuzzy logic.
We develop a flexible interrogation system by quantificatifs and qualitative information in our linguistic summary based on calculation the cardinality flow. Our system responds to simple and complex queries so as fast and accurate, we deduct the number of patients by calculating validity degree of the request instead the calculating degree of truth proposed in other paper
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- The summary linguistic and medical database
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