Fuzzy Logic Between Theory and Practice: An Applied Study Using Selected Concepts of Fuzzy Logic to Assess Learning Difficulties Among Students at the Faculty of Science

Abstract

Fuzzy Logic is one of the modern approaches used in analyzing behavioral and psychological phenomena. It is distinguished by its ability to deal with ambiguity and imprecise data, unlike classical logic, which is based on absolute duality (1/0). This type of logic has gained increasing importance in the fields of education, psychology, and statistics due to its ability to represent qualitative linguistic concepts and transform them into quantitative values that can be analyzed. This study focuses on applying some concepts of fuzzy logic to measure the level of learning difficulties among students of the Faculty of Science, based on the fact that such difficulties are often characterized by gradualness and vagueness, which makes traditional statistical methods inadequate for accurately representing them. The research aims to clarify the possibility of using fuzzy logic to measure the level of learning difficulties among students of the Faculty of Science. Consequently, the study raises several questions related to identifying the most influential psychological, behavioral, and educational difficulty domains. The descriptive-analytical approach was adopted, and a questionnaire was administered to a sample of 60 Male and Female students. The collected data were analyzed using the center of gravity method after being converted into fuzzy values. The results revealed that fuzzy logic is an effective tool for representing learning difficulties more realistically and accurately.