New modes of OWA information fusion

In this work, we focus on the OWA operator. We view this operator as the inner product of two vectors: a weighting vector containing the weights associated with the aggregation, and a second vector containing the arguments to be aggregated. We note the centrality to this operator of the process used to index the elements in the argument vector, and suggest some new mechanisms for ordering the arguments. In the second part, we study the situation in which the weighting vector is context dependent. Finally, we consider the case in which the arguments to be aggregated are drawn from an ordinal scale; the solution to this problem leads us to consider random weighting vectors. © 1998 John Wiley & Sons, Inc.