This chapter discusses a recent data fusion algorithm (Ribeiro et al. 2014), Fuzzy Information Fusion (FIF), that provides a general method, based on decision matrices, for fusing heterogeneous sources, into a single composite, with the final goal of rating and ranking alternatives. In addition, FIF has the ability to handle imprecise information, either from lack of confidence in the input data or from its imprecision (allowing deviation errors). In general, FIF can be viewed as a decision support method for handling multiple criteria (i.e., input sources) classification problems under uncertain environments.
|Title of host publication||Multisensor Data Fusion: From Algorithms and Architectural Design to Applications|
|Number of pages||17|
|Publication status||Published - 26 Aug 2015|