Evaluating and Ranking Suppliers by a Multi-Attribute Decision Making Approach Under Uncertainty (Case Study: Steel Industry)

Deciding to choose a supplier is a key issue that has become a strategic goal for organizations in recent years. because of the diversity and variety of quality and quantity indicators, this decision making issue is considered as a Multi Attribute Decision Making problem. To do this, in the real world due to imprecise information, decision making is based on inaccurate information and linguistic terms; In this paper, a hybrid model of fuzzy analytical hierarchy process (FAHP)and fuzzy topsis method is presented, in the steel industry. In the first part of this model, after selecting the effective criteria and sub-criteria, in the steel industry, by using expert opinions, FAHP is used to extract the weights of the criteria and sub-criteria. In the second part of the model, the output weights of the previous stage are placed as inputs data and suppliers are ranked by Fuzzy Topsis Technique.