# A Rule-Based System for Human Performance Evaluation: A Case Study
## 2 Literature Review on Expert System Application  
DMSS as pioneers of ES are widely used. Researches mainly focus on practical examples. However, when applying the DMSS, it is necessary that the design and integration of algorithms consider human perspective, not only technological [9]. For example, authors in [10] designed simulation for train drivers training by conducting cognitive task analysis with experts in the domain. Research conducted in [11] reports the design of simulator training within Swedish dynamic decision-making training facilities. Although ES application was not novel, the research area has been very scarce for a long time. The paper [12] provides a review of the rule-based ES application in various manufacturing processes. According to established findings, their advantages are related to easy operation, human error reduction, and possible usage by low and semi-skilled employees. In addition, the field of healthcare is a broad area for the application of ES and artificial intelligence. Especially in the field of diagnostics and decision-making based on predefined parameters. Research [13] was conducted to improve the response rate of general practitioners to poisoning cases in the Philippines. It enabled the diagnosis with an accuracy of 96% by CLIPS ES shell application and a web interface design. It provided a quick response, which is extremely important for a system with some parts dislocated. The same goal regarding providing  
Figure 1: Conceptual expert systems (ES) flow chart. remote consultation and monitoring of pediatric patients at places distant from medical service was highlighted in [14]. The authors discuss rule-based mobile ES application for pediatric patients. The performance accuracy of the system was 0.86 in the first-round tests and 1 in the second-round tests, demonstrating the great efficiency of the proposed system. Authors in [15] propose multilayered rule-based ES for diagnosing uveitis in order to help other ophthalmologists provide a precise and fast diagnosis. Its multilayered structure presents a quality educational tool that provides system flexibility by allowing easy expansion in the future. Preliminary results of a fuzzy rule-based system for decision support regarding cardiovascular diseases shown in [16] present the effectiveness of the system itself. However, providing more parameters and increasing the knowledge base could provide more accurate decisions and the system's effectiveness. The application of the technique for order preference by similarity to ideal solution (TOPSIS) ES based on fuzzy logic in combination with neural networks is presented in the paper [17] on the example of designing a new perfume bottle. It enables easy and successful designing in the process of product design, while it enables the optimal combination of parameters for creating a new product. Preliminary research results of ES application in weapons system operation are presented in the paper [18], which indicate that the introduction of an ES in the processes appears to garner approval. However, some aspects need to be improved, and the application of fuzzy logic can significantly affect the process improvement if there is a lack of specific information. Authors in [19] confirm the above by presenting fuzzy ES for earthquake prediction with 47% accuracy. Due to the lack of application of ESs based on fuzzy logic and designed in the web interface, the paper [20], by using the example of assessment of student success in enrolling into the next academic year, showed the design and advantages of their application. Microsoft Visual Studio and Microsoft SQL Server have been used to design the application system, enabling the implementation of the ES within the process, without the additional investment costs required for the shells. Research in [21] proposed ES that applies the failure mode and effects analysis (FMEA) method for quality control in brake disc production lines.