In this study, an intelligent system model that can evaluate experimental material
properties and safety factors is developed. The model contains Artificial Intelligence Technologies
such as Artificial Neural Network (ANN) and Fuzzy Logic. It consists of sub modules into
interaction. Also, the model can obtain more precision values than interpolation techniques used to
classical design. The study contributes to define safety factors, design criterions and safety stress
according to a new approach based on information technologies. So, this study can be seen as one
of the sub modules of Intelligence Multi Agent System and it can be integrated with Multi Agent
System Model for design. Also, it can be used for classical design studies so that results can be
quickly obtained. It is expected that this approach will be widely used by designers.
Implementation of Artificial Intelligence Based Analyzer Using Multi-Agent System Approach
