Intutionistic Fuzzy-Based Method for Assessing the Learner ’ s Knowledge Level and Personalization of Learning Path

Currently most of the Web-Based learning systems assess the learner’s knowledge in terms of the learner’s crisp responses to the tests that are taken during the learning process. However, several factors such as successful guesses or choosing a more probable answer lead to uncertainty about the evaluation process. To this end, this paper investigates the use of a novel method based on the Intuitionistic fuzzy set theory to handle inaccurate information about the learner in the assessment process. Also, based on the assessment results, personalized sequence of learning concepts are provided for the learner using Intuitionistic Fuzzy Weighted Averaging (IFWA) operator.