Vendor Selection, Using Fuzzy Approach

Vendor selection is an evaluation process that is based on many criteria that uses inaccurate or uncertain data. But while the criteria are often numerous and the relationships between higher-level criteria and lower-level sub-criteria are complex, most conventional decision models cannot help us clarify the interrelationships among the stub-criteria. Our proposed integrated fuzzy multiple criteria decision making (MCDM) method addresses this issue within the context of the vendor selection problem. First, we use triangular fuzzy numbers to express the subjective preferences of evaluators. Finally, using Fuzzy TOPSIS written in C++ language, the ranking of the vendors for a manufacturing company in supply chain and the consequences of the mentioned above were discussed and investigated.