Applying intuitionistic type-2 fuzzy inference system for e-learning system

Abstract

This study applies an intuitionistic type-2 fuzzy inference system (FIS) to e-learning system. This study utilizes the advantages of intuitionistic fuzzy set and type-2 fuzzy inference system, which have been proven to be most effective in uncertain environment, to recommend e-learning courses. The learning readiness is difficultly found in e-leaning company. In the study, triangular fuzzy numbers (TFS) are used to represent uncertain data. Intuitionistic type-2 is employed to model vaguely defined relations between TFS. The numerical example is used to verify the intuitionistic type-2 can effectively infer the learning readiness, and recommend more objective e-learning courses than traditional fuzzy inference systems.