Fuzzy logic entity behavior profiler

Details Fuzzy logic entity behavior profiler Fuzzy logic entity behavior profiler

1996-08-30

1998-03-03

Downs, Robert W.

395900, G06F 1700

Patent

active

057244880

ABSTRACT:
The behavior of entities with common characteristics is profiled using fuzzy logic. 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. The number and organization of the behavior characteristics in the profile is expandable and the importance of characteristics can be weighted.

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Prediction of the Driving Environment Using the Inverse Problem of Fuzzy Relational Equations with Interval Values, H. Takahashi, S. R. Han and T. Sekiguchi, Japanese Journal of Fuzzy Theory and Sytstems, 1993, USA, vol. 5, No. 4, ISSN 1058-7349, pp. 603-618.

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