Evaluation of Embedded Intelligent real time systems by using MOORA method

When facing intelligent real-time software systems integrated into larger host systems, several evaluation challenges arise. It is of utmost importance to focus on assessing these systems and ensuring their software safety, especially since they are being utilized more frequently in critical sectors such as aerospace, medicine, manufacturing, and transportation. Embedded software engineering for such systems differs significantly from conventional software engineering in various aspects. Engineers working on these systems must possess expertise in additional areas beyond standard software development. They need to be well-versed in electrical power, electronics, the physical interface between digital and analogue electronics and computers, as well as software development for embedded systems and digital signal processors (DSP). This multidisciplinary approach is crucial to guarantee the successful design and implementation of intelligent real-time software systems in various applications, where safety and reliability are paramount concerns. The field of information technology is constantly advancing, with the emergence of various decision support systems, group decision support systems, knowledge-based systems, and expert systems. Originally, these systems were created as independent technologies to offer timely and suitable decision support to users. These systems play a vital role in the operation of numerous safety-critical, large-scale systems, including air traffic control, global financial and telecommunications networks, and real-time command and control networks. There is a strong desire to further develop intelligent real-time systems that can be integrated into these complex large-scale systems to provide guidance and assist users in their actions. Versatile with unique alternatives a new method for optimization is proposed MOORA. This method is objective denotes the matrix of responses of the alternatives, however, proposing better policies, which rates are used. Well established. Multi-objective another method for optimization is used for comparison, reference point method. Then, various competitions this proved to be the best choice among the methods. Alternative parameters taken as Adaptability, Latency, Fault Tolerance, User Experience. Evaluation parameters taken as Responsiveness, Accuracy, Resource Utilization, Reliability, Power Efficiency. From the result it is seen that Accuracy is got the first rank whereas is resource utilization is having the lowest rank. Accuracy is got the first rank whereas is resource utilization is having the lowest rank.