Applying Multi-Agent Intelligent System to Decision Making with Knowledge Management Approach

Document Type: Research Paper

Authors

1 M.Sc. Graduate Student, K. N. Toosi University of Technology, Tehran, Iran

2 Prof., Dep. of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

3 Assistant Prof., Dep. of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

Todays, decision makers in the organization need to
constantly monitor changes in the environment and organization and
make necessary changes. Therefore knowledge about the environment
and organization is necessary in decision making. Knowledge
management is a key factor for competitive business environment and
organizations are investing heavily in creating centralized knowledge
repositories to improve business processes, promoting knowledge sharing
and retaining expertise even after employees have left the organization.
Corporations also tend to look for systems to assist them in knowledge
management with high speed and accuracy. One of the tools in this area
has proven to be effective and efficient, is intelligent agent. The study aims
to provide an infrastructure for knowledge management using intelligent
agents in such that takes into consideration all aspects of knowledge
management and also to overcome the challenges and weaknesses of
other studies. Simulation of the proposed system in a car factory indicates
that it is efficient and effective in supporting and improving decision
making.

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