a novel model in optimal decision making to investment in the industry with regard to the role of unique valueadded to optimizing the total expected cost index

The main aim of this study, introduce a model to determine the optimal values of the index value to minimize the total expected cost index and also the best decision making in selecting the industry and the region for investment by investors. for this purpose, the technique of linear programming to determine the optimal values of the index value is used. finally, fuzzy topsis technique to prioritize alternatives to determine the optimal industry and region to investment is used. furthermore, a case study that includes two regions and two industries is presented to show applicability and performance of the proposed model. the results show that fourth alternative (region2 and industry 2) is the best decision to investment.