A Study of Student’s Academic Performance Using Artificial Intelligence: A Fuzzy Logic Approach

Authors

  • Ramjeet Singh Yadav Computer Application, Department of Business Management and Entrepreneurship, Dr. Rammanohar Lohia Avadh University, Hawai Patti, Prayagraj Road, Ayodhya-224001, (Uttar Pradesh), India.
  • Jyotirmay Patel Shri Ram Murti Smarak College of Engineering, Technology & Research Ram Murti Puram, 13 KM Bareilly-Nainital Highway, Bhojipura, Bareilly-243202, UP, India.

DOI:

https://doi.org/10.9734/bpi/ist/v7/15701D

Keywords:

Fuzzy Set, Fuzzy Logic, expert system, membership function, clustering methods

Abstract

Student academic performance evaluation involves several components, each based on number of imprecise judgments arising due to human (teacher/tutor) interpretation. In this Book chapter, we explore the applicability of fuzzy logic and fuzzy expert system to student allocation problem that allocates new students to homogenous groups of specified maximum capacity, and analyze effects of such allocations on the academic performance of students. The book chapter also presents a Fuzzy set and Regression analysis based Dynamic Fuzzy Expert System model which is capable of dealing with imprecision and missing data that is commonly inherited in the student academic performance evaluation. This model automatically converts crisp sets into fuzzy sets by using fuzzy C-Means clustering algorithm method.

Published

2022-03-07

How to Cite

Ramjeet Singh Yadav, & Jyotirmay Patel. (2022). A Study of Student’s Academic Performance Using Artificial Intelligence: A Fuzzy Logic Approach. Innovations in Science and Technology Vol. 7, 132–141. https://doi.org/10.9734/bpi/ist/v7/15701D

Issue

Innovations in Science and Technology Vol. 7

Section

Chapters