Designing a Multi-Objective Mathematical Model Using Intuitionistic Fuzzy Approach to Select Investment Projects (Case of Investment Opportunities in Bushehr Province)

Strategic development goals is achieved by investment potential utilization of each region. Some of these goals may be inconsistent. Therefore, Governments want to align a combination of different investment objectives and sometimes contradictory as far as possible. This study aimed to explain the mathematical model for investment projects by providing an integer linear programming model with three objectives: reducing costs, increasing employment and reducing greenhouse gas emissions - carbon dioxide. Afterward, the model was tested with extracted data from 51 proposed projects. Among common methods, the   Augmented Epsilon Constraint is used. The cost reduction goal was chosen as the main objective by surveying experts and applying the Intuitionistic fuzzy approach. By applying the intuitionistic fuzzy approach and regarding experts viewpoint, Cost reduction is chosen as the main objective. the proposed model was evaluated in pareto front with twenty-one cut Augmented Epsilon constraints and optimal solution obtained, so, 45 projects is introduced as the basic variables of the problem. Finally, The Augmented epsilon constraint approach was compared with the classical epsilon constraint approach. The results showed in the classic approach, only 35 projects are accepted from 51 projects. Further examination revealed the Augmented approach outperforms the classical approach.