Learning a multi-criteria classification method using machine learning & metaheuristics techniques

Data classification is a widely used approach in the area of data mining. Methodologies for addressing data classification have been developed in a variety of research disciplines, including artificial intelligence (AI) and Multi-Criteria Decision Aid (MCDA). The objective of this thesis is to develop a new framework for learning the MCDA method PROAFTN. The limitations of PROAFTN are largely due to the set of parameters required to be obtained...