Abstarct: Evaluation and target market determination has always been one of the most important and controversial topics between researchers. With increasing competition among companies, attracting new markets and customers has become more important, and the companies are trying to find new markets and launch their products on new markets and sell their products to the buyer. Therefore, the main objective of this thesis is to evaluate Passargad Co. and determine target market with regard to existing risks and plan to identify the most important risks and finally have the ability to predict risk; hence, the rough set theory has been used for data analysis. The validation results show that data complete with conditional mean and mean mode and removal of incomplete data for production has an accuracy of 77 % and 88 % accuracy and is more accurate than other models. Completion of data by conditional hybrid complementation and redundant production using genetic algorithm with the "total redundancy" approach is the weakest model, with approximately 25 precision accuracy.