Fuzzy analytical network process logic for performance measurement system of e-learning centers of Universities

This paper proposes an efficient performance measurement system to evaluate the excellence of e-learning centers of universities. the proposed system uses the analytic network process (anp) as an effective multi-criteria decision making (mcdm) method and its fuzzy mode to respond to uncertainties in judgements. this system also needs a targeted and systematic criteria set which is collected through comprehensive literature studies and experiences of faculty members. the performance of e-learning centers can then be systemically measured and managed by finding the relationship between these criteria, comparing the pairwise of criteria together and gaining their importance under uncertainty. in this paper, eight main criteria and twenty-five sub criteria is identified by a comprehensive survey on a statistical community consist of faculty members, staff and students of e-learning centers. based on the results, the criteria for measuring university performance are mainly student, teacher, educational content, communication, research, scheduling, continuous improvement and infrastructure. from the results of the final weights obtained, the master's attitude toward the course is most important in measuring performance. the sub-criterion of attracting student participation by the master has the next important place as well. the subcategory of the need for learning, the interest of interference in education, and the future prospects of the student future are in the subsequent degree of importance.