Fuzzy Logic in Student’s Achievement
Botir Usmonov
Botir Usmonov, Tashkent university of Information technologies, Tashkent, Uzbekistan.
Manuscript received on December 12, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 3335-3338 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8804019320/2020©BEIESP | DOI: 10.35940/ijitee.C8804.019320
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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: The productiveness of teaching students in universities is important to evaluate for declaring the results of their work. Their learning mainly depends on such factors as attendance, productiveness of learning, the material-technical base of the university and etc. Generally, when one interesting to assess the dependencies of these factors, an inventory of all elements is usually carried out, and management is advised to make a certain decision. But the influence of factors on student learning is not carried out. This paper aims to present an assessment of this student learning ability using system fuzzy logic. In this investigation discussed a procedure that can be used to assess students’ performance and learning ability. This process is completely based on the principle of obtaining fuzzy sets about factors affecting learning: class attendance, learning efficiency and infrastructure instruction environment, which are objects of fuzzy arithmetic and allows one to get crisp values of performance results. In the paper is applied the fuzzy set method, which is used for further analysis with additional factors affecting student learning.
Keywords: Fuzzy logic, Fuzzy Logic, Fuzzy Sets, learning, the Education, Fuzzy system, Fuzzy editor in MATLAB software.
Scope of the Article: Fuzzy logic