We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
A protocol for the elicitation of imprecise probabilities based on linear programming is applied to the case of two continuous variables. Two medical experts were elicited. The re...
Fuzzy set theory represents a uniform framework for extending the relational database model to han-, dle imprecision of information found in the real world. None of the existing p...
In this paper we consider decision making under hierarchical imprecise uncertainty models and derive general algorithms to determine optimal actions. Numerical examples illustrate...