Learning achievement evaluation strategy using fuzzy membership function

In this paper, the authors suggest a new learning achievement evaluation strategy in student´s learning procedure. They call this fuzzy evaluation. They may assign fuzzy lingual variables to each question pertaining to its importance, complexity and difficulty by using fuzzy membership functions. Then one can evaluate a score depending on the membership degree of uncertainty factors in each question. In addition, they consider the time consuming element for solving a question. They adapt an inverse sigmoid function to consider time consuming elements, fuzzy concentration and dilation function for importance, a sigmoid function for complexity, and fuzzy square method for difficulty