As people move through uncertain environments, they are often presented with multiple route choices. Deciding which route to take requires an understanding of the environmental features and how they affect the person's interpreted cost of each route. These quantities can be appropriately modeled as fuzzy numbers to capture the inherent uncertainty in human knowledge. We present an approach to guide a person's decision-making process through an environment modeled as a fuzzy weighted graph, using an α-level OWA operator to implement the principle of bounded rationality. A cost value is computed for each possible route choice, which can then be used to rank the set of routes and make a decision.