Decision and risk analysis for an air carrier under fuzzy conditions

Souhir Charfeddine (1) , Felix Mora-Camino (2) , Marc de Coligny (3) , Karim Zbidi (1, 3)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
3 UT2

In the air transport sector where the uncertainty is very frequent due to the high sensitivity of the activity to many factors that influence the behavior of the consumers. Fuzzy logic can be used to produce estimates which take into account the vagueness of the operating environment. In this sector, many important decisions about the supply of service are based on these estimates. In this paper an analysis of the optimal supply conditions under fuzzy demand information is considered for a market where only one carrier is operating. The carrier's supply decision making process is investigated, first when the demand function is obtained through classical methods then when it is given by a fuzzy function. The main advantages of the new approach are then discussed.

Mots clés: consumer behaviour; decision making; fuzzy logic; fuzzy set theory; optimisation; pricing; profitability; risk analysis; supply and demand; travel industry

Domaines: Automatique / Robotique

Souhir Charfeddine, Felix Mora-Camino, Marc de Coligny, Karim Zbidi. Decision and risk analysis for an air carrier under fuzzy conditions. CIMCA-IAWTIC 2005, International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Nov 2005, Vienna, Austria. pp 683-688, ⟨10.1109/CIMCA.2005.1631343⟩. ⟨hal-00938900⟩