Incomplete and fuzzy conceptual graphs to automatically index medical reports
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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The objective of the research work presented in this paper is the modeling of the industrial regulation in the manufacturing process. We show here the feasibility of a decision-making automation aid model for the manufacturer and the experts of production. The realization of this model is founded on the fuzzy sets theory, which is used for the resolution of the complex and uncertain system problems. The originality of this model resides in taking into account the exploitation requirements as well as the objectives pursued by the manufacturer. It uses the expertise as a source of knowledge to solve the problems of the industry regulation. These problems become much more difficult, when disturbances caused by unexpected incidents are simultaneous in several sections of the manufacturing process. This difficulty is in the modeling of the incidents and of the pertinent decision-making criteria. We find here a good reason to achieve our model on the fuzzy sets theory.