TOWARDS INTUITIONISTIC FUZZY COMPUTATIONAL MODELS OF LEARNING
TOWARDS INTUITIONISTIC FUZZY COMPUTATIONAL MODELS OF LEARNING
Author(s): Grigore AlbeanuSubject(s): Education
Published by: Carol I National Defence University Publishing House
Keywords: Levels of Learning; Machine Learning; Intuitionistic Fuzzy Models and Strategies
Summary/Abstract: 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.
Journal: Conference proceedings of »eLearning and Software for Education« (eLSE)
- Issue Year: 9/2013
- Issue No: 02
- Page Range: 610-615
- Page Count: 6
- Language: English
