Home > Archive > 2020 > Volume 10 Number 1 (Jan. 2020) >
IJIET 2020 Vol.10(1): 20-25 ISSN: 2010-3689
doi: 10.18178/ijiet.2020.10.1.1333

Developing a Knowledge-Driven Decision Support System for University/College Selection Problem in Kuwait

Suat Kasap, Danah Abbas, Maryam Khajah, and Marwa Ashknani

Abstract—The future of any high school student depends mostly on selecting the right place to study after graduating from high school. Most high school graduates are lost in selecting their right path in Kuwait due to increasing number of university or college alternatives. This paper explains development of a decision support tools that helps high school fresh graduates to choose the best university or college in Kuwait based on their preferences. To choose the right university to apply, there are many decisions that should be taken into considerations. These decisions are related to variety of universities/colleges and the students’ preferred criteria. Decisions upon which university should be selected depends on a list of criteria’s, this makes the problem is a multiple criteria decision making (MCDM) problem. A Decision Support System (DSS), more specifically, a knowledge-driven DSS is developed to consider this problem. Analytic Hierarchy Process (AHP) is a MCDM process that is chosen to provide alternative solutions for the students based on their several criteria’s. Microsoft excel is used in applying AHP, and a Website is built to represent the future business.

Index Terms—Analytical hierarchy process, decision support system, multi-criteria decision making, university/college selection problem.

Suat Kasap is with the Industrial Engineering Department, College of Engineering and Technology, American University of the Middle East, Kuwait (e-mail: suat.kasap@aum.edu.kw).
Danah Abbas was with the Industrial Engineering Department, College of Engineering and Technology, American University of the Middle East, Kuwait. She is now with the Ministry of Higher Education, Administrative Development and Training Department, Kuwait (e-mail: da25ib@hotmail.com).
Maryam Khajah was with the Industrial Engineering Department, College of Engineering and Technology, American University of the Middle East, Kuwait. She is now with Schlumberger Oil Field Company, Kuwait (e-mail: Maryamkhajah@hotmail.com).
Marwa Ashknani was with the Industrial Engineering Department, College of Engineering and Technology, American University of the Middle East, Kuwait. She is now with the Public Authority for Food and Nutrition, The Engineering Department and Quality Control, Kuwait (e-mail: marwahashknani@gmail.com).

[PDF]

Cite: Suat Kasap, Danah Abbas, Maryam Khajah, and Marwa Ashknani, "Developing a Knowledge-Driven Decision Support System for University/College Selection Problem in Kuwait," International Journal of Information and Education Technology vol. 10, no. 1, pp. 20-25, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

Article Metrics in Dimensions