Design and Implementing an Efficient Expert Assistance System for Car Evaluation via Fuzzy Logic Controller

Abstract

Applications of experts Assistance Systems for Car Evaluation are continuously being implemented to serve different sectors. Car evaluation has been considered as a significant segment in the logistic handling. Thus, a proper choosing of Car evaluation plays a considerable part in order to ameliorate the economic interests and suitability of logistics projects. In this paper, The Expert System (ES) is one of the most important Artificial Intelligence (AI) techniques that have been adopted to handle with Car Evaluation task. This paper presents the role of ES in developing car evaluation, detection model and the requirements of constructing successful Knowledge-Based Systems (KBS) for such model. In addition, it exhibits the adaptation of the ES in the development of Car evaluation Assistance System via Fuzzy logic (CEASFL). However, CEASFL development faces including many challenges such as collecting the required data for building the knowledge base and performing the inferencing. Furthermore, determine of car evaluation requires skills and experienced mechanics to get a good car. Thus, systems such as CEASFL can be highly useful in assisting mechanics for car evaluation detection and training purposes