Data fusion modeling human behavior

Abstract

A new class of aggregation operators designed to deal with data fusion problems is presented. Our approach is intended to reflect an aggregation process like that of human reasoning, by incorporating all trends, from pessimistic to optimistic behavior. This goal is achieved by introducing weights in the aggregation process; each weight not only is defined by functions of the variable by which it is affected, but also depends upon all other simultaneously occurring variables. © 1998 John Wiley & Sons, Inc.13: 27–39, 1998