TY - JOUR AU - Anand kumar Pandey, Rashmi Pandey, Neeraj Goyal, Pooja Jain, PY - 2022/04/18 Y2 - 2024/03/28 TI - Performance Analysis of Multi Agent System and Rule based Expert System Design Approach Using Covid-19 Vaccination Progress JF - Design Engineering JA - DE VL - IS - 1 SE - Articles DO - UR - http://thedesignengineering.com/index.php/DE/article/view/9369 SP - 3047 - 3053 AB -   The digital world and IT industry growing day by day, in this reference multi agent system and rule based expert systems are one of the well-known research areas of machine learning. Most of the expert systems are highly responsive, reliable, easily understandable, and high performance result oriented. This paper contains the performance analysis, design methodology, development strategy of multi agent system and expert system using COVID-19 vaccination progress data. This analysis try to present some abstract analysis, structure of knowledge acquisition process with in the domain of rule based expert system using import the required data in Power Bi tool. This paper tried to review data analysis and express such kind of beneficial model that not only defend the innovative attributes of expert system but also described some of their limitation of machine learning.   ER -