SUPPORT INTELLIGENT OF E-LEARNING ORIENTED TO FAMILIES DECISION PROBLEMS

Maria BELDIGA (VASILACHE) Universitatea de Stat din Moldova

Abstract

This paper is a summary of the PhD thesis of the author and aims to describe the structure and functioning of intelligent support system (ISS) for e-Learning family oriented decision problems. ISS integrates decision problems generator and solver for solving decision problems with automated artificial intelligence tools applied to mathematical models. SSI performs the following family of decision problems: monocriterial, multiattribute, represented by decision trees and represented by fuzzy sets. For families of decision problems we set the goal to develop: a) generic models for these family problems, b) methods of generating generic models tailored to specific problems follow a set of rules, c) solver problems to solve specific decision problems generated automatically. Keywords: e-Learning, decision support system, artificial intelligence, generator decision problems, solver decision problems.