The present invention is a system and method for profiling the behavior of entities, that are members of a peer group, where the entities have common characteristics, exist in the same field of activity, or domain, and are generally expected to behave similar to one another. First, behavior characteristics, or indicators of a target behavior, are determined. Norms and fuzzy sets are established for each behavior characteristic and then fuzzy logic is used to develop a series of scores. A behavior profile is developed from a collection of scores, and is organized either linearly or in a hierarchy, that can be used to compare the degree to which an entity within a peer group is, or is not, associated with a set of behavior characteristics relative to others in the same peer group. Another novel feature of the present invention is that the number and organization of behavior characteristics comprising the behavior profile are expandable without restriction, and that the relative importance, or weight, of each behavior characteristic, or group of characteristics, can be achieved linguistically, not numerically. Transportability is attained by representing domain knowledge (i.e. objects, hedges and fuzzy sets in fuzzy logic rules) as elements in multiple subscripted variables, or symbolic lists, that are populated from information stored on data files located on an external storage device. <IMAGE>
Fuzzy logic entity behavior profiler