Open AccessFuzzy Logic in Student’s Achievement
Author(s) -
Botir Usmonov
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8804.019320
Subject(s) - attendance , fuzzy logic , class (philosophy) , set (abstract data type) , computer science , mathematics education , process (computing) , artificial intelligence , fuzzy set , base (topology) , machine learning , psychology , mathematics , economics , programming language , economic growth , operating system , mathematical analysis
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