Agile decision support system for the management of tensions in emergency services using AIS techniques

The aim of this article is to propose an agile approach of decision support in order to manipulate and capitalize the knowledge. we present one of the bio-inspired computer techniques to provide decision-making assistance to hospital decision makers facing of massive patient flows. In fact, the Artificial Immune System (AIS) is a technique that has been adapted for the design of a hospital piloting assistance system. This assistance system helps hospital decision makers in their activities. The main objective is to present the basic concepts of a new approach that aims to provide hospital decision-makers with relevant traces to assist them in their decision-making in the difficult situations that put them under stress. In order to design the system, we relied on two mechanisms of AIS techniques (negative and clonal selection). The agility aspect of the system was assured by adopting the component approach. The results of the proposed approach have been good and effective because they improve the knowledge base developed by learning and offer a good decision-making help under tension.