Method for Uncertain Linguistic Multiple Attribute Decision Making and its Application to Supplier Selection

In this paper, we investigate the uncertain linguistic multiple attribute decision making problems to deal with the supplier selection in supply chain management with incompletely known weights information. We developed a multiple attribute decision making method to select supplier in uncertain linguistic setting, by which the attribute weights can be determined. We utilize the uncertain linguistic weighted geometric (ULWG) operator to aggregate the uncertain linguistic information corresponding to each alternative, and then rank the alternatives by means of the aggregated uncertain linguistic information. Finally, an example with supplier selection is given.