The subject process accepts the data from a kinematic tracker and maps them to fuzzy set conditions. Then using a multitude of defined membership functions and fuzzy logic gates, generates sensor mode control rules. It does this for every track and each sensor. The Rule with the best score becomes a sensor cue, which is used to place the sensor into one of three operating modes. If there are ambiguities do to one or more vehicles coming in to close proximity to each other process compares radar profiles of vehicle to those stored in an "on the fly" data base to eliminate the ambiguities.
A system and method of adaptive fuzzy networks is disclosed. Fuzzy networks comprise a network of computer-based objects and relationships among the objects, where the relationships may be by degree. The adaptive fuzzy network system provides functions for user interactions with the fuzzy network, including functions to modify the fuzzy network and to provide security and privacy controls. The adaptive fuzzy network system also provides functions to generate recommendations based, at least in part, on usage behaviors associated with the fuzzy network. Usage metrics associated the fuzzy network and its subsets are generated by the adaptive fuzzy network system, including metrics associated with people derivatively based on objects with which they are associated.
