Introducing a new evaluation model using fuzzy and gray uncertainty approaches in the educational system

Proper assessment of the learner in the educational system is one of the most important challenges facing all professors and teachers. Due to the ambiguity in some criteria or answering the questions, we will always face uncertainty in the evaluations. Therefore, in this article, two important issues in the results of the evaluation of the educational system in competitive exams when there is uncertainty for acceptance or selection based on academic record. Our proposal for problem solving is an approach based on soft computing techniques. Usually in exams, a answer sheet is evaluated based on the assignment of a score of one. Here, the main purpose of evaluation is the answer instructions from different perspectives of decision makers.From fuzzy sets to model the qualitative characteristics of questions and identify the problem of coefficient of educational importance of each academic year in different courses, by educational decision makers and from gray numbers to obtain the results of evaluating the learner's answer sheet and ranking them using methods Several gray criteria have been used. The use of a combination of different approaches to dealing with uncertainty that can cover the weakness of each approach is one of the future research of the authors.