Evidential Integration In A Multi-Sensor System With Dependency Information
Youssef A. Bazzi, Brian T. Mitchell · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
Several methods for combining uncertain evidences in a multi-sensor system have been developed in the literature. Most of these methods make routine assumptions on the type of relation between these evidences, that is the evidences are independent. This assumption leads to serious questions as to the validity of the conclusions reached by systems which employ such schemes. This paper presents a technique for reasoning with dependency information in expert systems that acquire probabilistic evidence. Three types of depndency relations have been considered. The proposed technique is suitable for computerization, and results in a more certain hypothesis value when applied to distributed sensor system and to terminal reliability in computer communication networks.