Performance evaluation of a multi-agent system using fuzzy model
Sabah Aly Darweesh Aly, Hassan Mohamed Shehata Badoor · 2018
The Multi-Agent System performance evaluation became important because the development system using the Multi-Agent System became widespread. This paper evaluates the Multi-Agent System performance by evaluating each agent performance and then gets the overall Multi-Agent System performance. The implemented performance criteria are the intelligence, security and scalability criterion. We measure these criteria using the Goal/Question/Metric model, average function and Fuzzy Logic. Then, we generate the performance percentage using Fuzzy Logic system. Finally, we apply the suggested model on a sample of a Multi-Agent System (Code Advisory System), and analyse the result. The results are percentages of each criterion and the performance. In addition, we check the suggested model sensitivity if some entities of the model criteria are neglected.