Fuzzy Logic-Based Decision Support System for Student Admission

Marjon Damaulao Senarlo; Hidear Talirongan

doi:10.36948/ijfmr.2025.v07i04.52003

Fuzzy Logic-Based Decision Support System for Student Admission

Author(s)	Mr. Marjon Damaulao Senarlo, Dr. Hidear Talirongan
Country	Philippines
Abstract	This study presents the design and implementation of a Fuzzy Logic-Based Decision Support System (DSS) for student admissions at Christ the King College de Maranding, Inc. (CKCM). Traditional admission processes in many academic institutions rely heavily on rigid thresholds, which often overlook the nuanced characteristics and potentials of student applicants. To address this limitation, the study introduces an intelligent system utilizing a Mamdani-type Fuzzy Inference System (FIS), aiming to provide human-like, objective, and flexible admission decisions. The proposed system evaluates applicants using three primary criteria: Admission Test Score, Interview Rating, and General Weighted Average (GWA). These inputs are converted into fuzzy linguistic variables through fuzzification, followed by the application of a rule-based evaluation framework. A total of ten expert-formulated rules were defined, capturing realistic decision-making behavior based on institutional standards. Defuzzification, using the centroid method, produces a crisp output score categorizing applicants as Accepted, Waitlisted, or Rejected. Real data from CKCM’s 2024 admission cycle were used for system testing. The results indicate that the system is capable of consistently classifying applicants in a manner that aligns well with expert judgment. High-performing candidates were clearly accepted, while borderline or mixed-profile applicants were accurately identified as waitlisted. The fuzzy system also provided clear grounds for rejection, particularly in cases of low academic and interview performance. This system enhances transparency, minimizes bias, and strengthens the integrity of the admissions process. While not designed to replace human judgment, it complements decision-making by providing structured, consistent, and explainable outcomes. The study contributes a practical framework for educational institutions seeking to modernize their admission procedures through artificial intelligence techniques.
Keywords	Keywords: fuzzy logic, decision support system, student admission, Mamdani inference, higher education evaluation
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-08-10
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.52003
Short DOI	https://doi.org/g9w5fz

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 4 Cover Page Vol 7 Isu 3 Cover Page Vol 7 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Fuzzy Logic-Based Decision Support System for Student Admission

Share this