Lab for Uncertainty in Data and Decision Making

Overview

The Lab for Uncertainty in Data and Decision Making is interested in the capturing, modelling and reasoning with uncertain data in a decision support context. We have a significant strength in fuzzy logic and are known for our work on non standard fuzzy sets such as type-2 fuzzy sets, non stationary fuzzy sets, intuitionistic fuzzy sets and rough sets.

Our goals are to develop novel and efficient approaches to modelling the uncertainty we see in many real world applications with the emphasis on understanding how to work with representations of uncertainty expressed in words and concepts.