Decision support systems for knowledge management

Abstract

This article deal with the development of imitative and mathematical decision making models in knowledge management training systems based on fuzzy modeling and multi-agent technologies. These approaches enable the authors to solve a lot of problems with the help of classifier learning agents and classifier combinational agents connected by informative exchange procedures. Information management is conceived as a combination of systematic attainment, synthesis, knowledge exchange and use.