TOWARDS INTUITIONISTIC FUZZY COMPUTATIONAL MODELS OF LEARNING

The intuitionistic fuzzy modelling has provided new vistas in artificial intelligence, expert systems, neural networks, data bases, and decision making. In this paper, the Bloom’s taxonomy is considered under an intuitionistic fuzzy framework. The context free intuitionistic fuzzy automata are used to establish a pair of degrees that measure the intuitionistic fuzzy level of capability to do tasks related to every Bloom’s level. It is shown that machine learning working with intuitionistic fuzzy models is an appropriate way to model human behaviour in approaching various tasks.