Intuitionistic fuzzy approach for adaptive presentation in an E-learning environment

To generate the content according to learner's level imposes challenges for E-learning systems. An innovative approach is required to build computationally intelligent systems that incorporate imprecision, uncertainty and partial truth to identify these learning objects according to cognitive models. To represent and model the user knowledge in the system and considering also the uncertainty in its description soft computing techniques seems to be more appropriate. In this paper an intuitionistic fuzzy theory is used to assess the knowledge level of the user. To personalize the learning material that matches the differences of students according to student' a fuzzy membership to certain knowledge level, a Mamdani Inference Method is used. An experimental analysis is conducted to examine the relationship between the results by different adaptive content sequencing.