Research and Evaluation on Learning Content Management Systems Incorporating with Improved Fuzzy Analytic Hierarchy Process

To date, Learning Content Management System (LCMS) plays a very important role in e-Learning and enterprisers' training while absorbing more and more manufacturers investing LCMSs developing. Of current status, it is very hard to compare such many vendors and products. Therefore, effective evaluated approaches on LCMSs are critical. In this paper, an evaluation method for LCMSs based on improved Fuzzy Analytic Hierarchy Process (FAHP) was proposed. The FAHP was used to select the best LCMS considering both qualitative and quantitative criteria and all selected LCMSs were ranked through a defined Trapezoidal Fuzzy Number (TFN). The illustrative examples showed that the proposed fuzzy analytic hierarchy Process method was effective and feasible in evaluating the whole function of an LCMS.