Presenting a model for selecting an innovative supplier from the perspective of cooperation using a fuzzy multi-criteria decision making approach

The current research is a descriptive survey in terms of its purpose in the field of applied research and based on its nature and method. In this research, Delphi, Fuzzy Dimetal, and Fuzzy Network Analysis methods have been used. The results of this research showed that the most important indicators of selecting an innovative supplier from the perspective of cooperation are: the supplier's ability, supplier's willingness, and supply risk. In the first step, the fuzzy Dimetal technique was used to reflect the mutual relationships between the criteria. In this way, at first, the matrix of the direct relationship of indicators was formed. According to the results, the willingness of the supplier has the most influence and has the most interaction with other criteria. In the next step, the main criteria of the research were prioritized, and it was found that the ability of the supplier and the willingness of the supplier and the supply risk are the first to third priority respectively. Finally, based on the calculations and the limit supermatrix, it was determined that the geographic proximity index is the priority. The ability of the supplier with a normal weight of 0.366 has the highest priority, the willingness of the supplier with a normal weight of 0.365 is the second priority, and the supply risk with a normal weight of 0.269 has the lowest priority. Finally, based on the calculations and the limit supermatrix, it was determined that "geographical proximity" with a weight of 0.1739 is the priority. "Organizational closeness" with a weight of 0.0936 is the second priority. "Commitment to continuous improvement in product and process" with a weight of 0.0833 is the third most important index.