TY - JFULL AU - Hassan Haleh and Amin Ghaffari and Parisa Farahpour PY - 2011/12/ TI - Using the Combined Model of PROMETHEE and Fuzzy Analytic Network Process for Determining Question Weights in Scientific Exams through Data Mining Approach T2 - International Journal of Educational and Pedagogical Sciences SP - 1698 EP - 1703 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/14046 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 59, 2011 N2 - Need for an appropriate system of evaluating students- educational developments is a key problem to achieve the predefined educational goals. Intensity of the related papers in the last years; that tries to proof or disproof the necessity and adequacy of the students assessment; is the corroborator of this matter. Some of these studies tried to increase the precision of determining question weights in scientific examinations. But in all of them there has been an attempt to adjust the initial question weights while the accuracy and precision of those initial question weights are still under question. Thus In order to increase the precision of the assessment process of students- educational development, the present study tries to propose a new method for determining the initial question weights by considering the factors of questions like: difficulty, importance and complexity; and implementing a combined method of PROMETHEE and fuzzy analytic network process using a data mining approach to improve the model-s inputs. The result of the implemented case study proves the development of performance and precision of the proposed model. ER -