Lately, customer always buy a car that is not compatible with themselves. So that, the aim of this project is to develop a web application system that will help customer in making a better decision in selecting a car. Hence, Car Recommendation System is proposed using AHP technique to recommend the most suitable car for customer based on several criteria. The criteria that has been chosen are range budget, primary purpose, car capacity and car style. It is specially design for customer whom in need selecting a car.
introduction
Car Recommendation System refer to a recommendation system that is specially designed for customer to make a better decision-making in selecting the best car that suits with themselves. The proposed system focus on four (4) criteria which are range budget, primary purpose, car capacity and car style would then be calculated using AHP calculation. The system will generate a list of best match car according to customer themselves.
PROBLEM STATEMENT
Customer face difficulties in making a right decision whenever to select a car that match with themselves.
Customer often choose a car that is not compatible with their affordability.
OBJECTIVES
To design and develop a car recommendation system to help customer in making a right decision in selecting the best match car.
To apply the Analytical Hierarchy Process (AHP) technique in the system to generate a list of recommended cars.
To test the functionality of car recommendation system.
METHODOLOGY
System Framework for CRS
Hierarchy of the AHP technique used
Result
conclusion
"Car Recommendation System (CRS) is intended to help customers find the best match car for themselves using AHP technique.”