A Fuzzy Logic Based Personalized Result Analysis Support for Student Performance Up-Gradation
Sangita A. Jaju1, Sudhir B Jagtap2, Rohini B. Shinde3
1S. A. Jaju, Department of Computer Science, Dayanand Science College, Latur, (M.S.), India.
2S. B. Jagtap Principal, Swami Vivekanand Mahavidyalay, Udgir (M.S.), India.
3R. B. Shinde, Department of Computer Science, Dayanand Science College, Latur, (M.S.), India.
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 426-432 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J107908810S19//2019©BEIESP | DOI: 10.35940/ijitee.J1079.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Education system conducts various competitive exam and analyze the result but there is no any provision for improvement of result analysis. The proposed research method uses a fuzzy logic based result analysis system which suggest the improvement is possible in performance of result. This method uses Mamdani Fuzzy inference system and Triangular and Trapezoidal membership functions for removing uncertainty and prediction of better results. When marks are analyzed through a classical method it represents two dimensional graphs only. Using this two dimensional graph it is quite difficult to predict range of result. In the proposed method using 36 Fuzzy rules output is categorized in 6 grades namely O, A+, A, B, C, D. and it is represented in 3D surface graph. This graph helps to increase the grade level of number of student by upgrading phase.
Keywords: DNS (Discrete Numbers System), FIS (Fuzzy Inference System), Mamdani Fuzzy, Triangular Membership Function, Trapezoidal Membership Function.
Scope of the Article: Analysis of Algorithms and Computational Complexity