Design an Expert System to Help Make Decisions in Attracting Faculty

Due to the limited power of human perception of the outside world and also the power of comprehensive and deep reasoning, he faces uncertainty and uncertainty. Multi-criteria decision-making methods, including methods to increase confidence and reduce uncertainty due to judgment Decision makers and comprehensiveness of information. One of the indicators calculated in the decision matrix in conditions of uncertainty is the minimum regret index. The purpose of this study is to identify options with the least regret in selecting faculty members. Therefore, using the variables obtained from the previous literature and the opinion of experts in the field of study, an expert system was designed to assist in decision-making in attracting faculty members.The results of the analysis indicated that the options of academic record, ethics (communication skills), teaching ability (ability to express and convey content) and decision-making skills are indicators that have the least risk of being considered in the scientific selection of individuals. According to the results of this research and the designed expert system can be used to help decision-making in attracting faculty members of universities by reducing time, increasing the quality and accuracy of decision-making.