Aggregation Operators and Interval-Valued Fuzzy Numbers in Decision Making

Aggregation operators play a fundamental role in decision making, especially when there are numerous (conflicting) criteria present. In case of uncertain data, an important task is to develop appropriate solutions for the aggregation process. In many applications the knowledge and data provided by the experts tend to be vague, as experts express their knowledge in nonstructured and ambiguous ways, for instance by using linguistic terms. We combine interval- valued fuzzy sets and OWA operators to create new aggregation methods and we prove that the new operators satisfy some important properties. In this article we present novel approaches for aggregating vague and imprecise information.