Year of Graduation
Program for Evaluating Students Performance Based on Fuzzy Clusterization Approach
This work is an attempt to build significant fuzzy Clusterization model based on academic performance of some group of British pupils living some years ago. The general purpose of research is highlighting the most important features of student’s living, which influenced on their final ks4 score. Moreover, it needs to find the most relevant way of expression of dependence the key features on target value. These targets will be achieved using the most common techniques like qualitative and quantitative methods. The general result, which is supposed to be, is the program, which will show the most important output information about the input dataset. The structure will consist of theoretical description of research and process description of physical realization of program.