Apports de la segmentation de la population des dirigeants au processus de gestion des ressources humaines : cas de l’administration algérienne

Abstract

From the results of a survey conducted in 2005 on a sample of 203 public officials, a typology of three fuzzy profiles has been cleared to design an allocation system based on their leadership styles, work ethics and human resource management concerns. Based on this typology fuzzy techniques borrowed from artificial intelligence have been used to learn classification rules. These techniques are four in number: the neural network, the genetic algorithm, the decision tree, and the theory of rough sets. The results of the study and its perspectives will be presented and discussed throughout this paper.