loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
A Fuzzy Approach of Decision Making for an Airline
Hong Kong, China
November 14-November 16
ISBN: 0-7695-2488-5
Felix Mora-Camino, LAAS, CNRS and ENAC

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.

Index Terms:
decision making, fuzzy logic, fuzzy optimization
Citation:
Souhir Charfeddine, Felix Mora-Camino, Karim Zbidi, "A Fuzzy Approach of Decision Making for an Airline," ictai, pp.66-73, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.