This paper presents a set of methods which use quantitative and qualitative data, gathered from various heterogeneous sources of information, aiming at combining them in a process of data fusion. Different forms of uncertainty representation and modelling are discussed. Also, this work proposes a taxonomy for the data fusion processes according to the nature and redundancy of the processed data.
Data Fusion; Uncertainties; Fuzzy Systems; Intelligent Systems; Statistical Models; Belief Models
