A proposed Decision Support System for Trips Selection

The Trips selection will become even more important nowadays especially as online trips in large trips databases can be used to give online travelers a better choice of trips than can be found off-line. The process of selecting a trip is considered as one of the most difficult stages a traveler goes through, especially with tens of trips of similar goals, different prices and detailed characteristics in the market. This paper is interested in proposing a Decision Support System to select the optimal Trip that meets each travelerʹs preferences; using Case- Based Reasoning techniques ʹCBRʹ, and calculating similarity between the travelerʹs preferences and the trip characteristics.