ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) APPROACH FOR MODELLING THE EFFECT OF ACHIEVEMENT IN STATISTICS TO STUDENTS’ ATTITUDES TOWARD STATISTICS
Nuray Güneri Tosunoğlu · DergiPark (Istanbul University) · 2017
This study investigates the effect of achievement in statistics to students’ attitude toward statistics using the Adaptive Neuro-Fuzzy Inference System (ANFIS). Attitude toward statistics is obtained by means of a statistics attitude scale, and achievement in statistics is assessed by the midterm exam grades of the students. For fuzzy clustering membership function is selected to be triangular and subtractive clustering is used. As a result of clustering, three fuzzy clusters are obtained for statistical achievement, which are named unsuccessful/ moderate/successful. The model established from ANFIS showed that the attitude of students receiving low achievement grades in statistics is negative and that attitude is more positive as the achievement increases. This study also showed that fuzzy methods are used successfully in social sciences.