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A Study of Student’s Academic Performance Using Artificial Intelligence: A Fuzzy Logic Approach | Chapter 11 | Innovations in Science and Technology Vol. 7

 Student academic performance evaluation consists of various components, each of which is dependent on the amount of imprecise judgments resulting from human (teacher/tutor) interpretation. In this Book chapter, we investigate the applicability of fuzzy logic and fuzzy expert systems to the problem of allocating new students to homogeneous groups of defined maximum capacity, and we examine the effects of such allocations on students' academic performance. The book chapter also introduces a Dynamic Fuzzy Expert System model based on a Fuzzy set and Regression analysis that is capable of dealing with imprecision and missing data that is usually inherited in student academic performance evaluation. Using the fuzzy C-Means clustering algorithm, this model automatically converts crisp sets to fuzzy sets.


Author(S) Details

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.

View Book:- https://stm.bookpi.org/IST-V7/article/view/6068

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