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Authors: Shaima Alghamdi ; Nada Alzhrani and Haneen Algethami

Affiliation: Department of Computer Science, College of Computers and Information Technology, Taif University, Taif and Saudi Arabia

Keyword(s): Fuzzy Expert System, Recommendation System Decision Support System, Major Selection.

Abstract: The decision of choosing a university major is one of the most important decisions in every adult life. To make a suitable decision, a student needs an expert opinion, time, and effort. Therefore, a decision-making system should be developed in order to help prospective students to increase their educational outcome and productivity. In Saudi Arabia, each university requires specific criteria in order to accept students. These criteria are made based on two factors: 1) the outcome of student’s qualification exams and 2) overall high school grades. The student must take these calculations into consideration when selecting a major. Thus, in this paper, a Fuzzy-Based Recommendation System (FRS) is proposed to aid students in choosing a suitable major. This system designed using Fuzzy Expert System (FES). Additionally, a cluster-based preferences technique is implemented to obtain the student's preferred majors, using distance measurement. The system has been tested on fifteen prospectiv e students to measure its accessibility. Results showed that students are stratified by the suggested majors that fell in line with their preferences. (More)

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Paper citation in several formats:
Alghamdi, S., Alzhrani, N. and Algethami, H. (2019). Fuzzy-Based Recommendation System for University Major Selection. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 317-324. DOI: 10.5220/0008071803170324

@conference{fcta19,
author={Shaima Alghamdi and Nada Alzhrani and Haneen Algethami},
title={Fuzzy-Based Recommendation System for University Major Selection},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA},
year={2019},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008071803170324},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - FCTA
TI - Fuzzy-Based Recommendation System for University Major Selection
SN - 978-989-758-384-1
IS - 2184-3236
AU - Alghamdi, S.
AU - Alzhrani, N.
AU - Algethami, H.
PY - 2019
SP - 317
EP - 324
DO - 10.5220/0008071803170324
PB - SciTePress

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