Fuzzy logic, multiple target tracking, and equivalence classes of random sets
Fred E. Daum · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
Surprisingly, fuzzy sets (in the guise of equivalence classes of random sets) arises naturally in a Bayesian analysis of bounds on performance for tracking in a dense multiple target environment. This talk will explain the connection between these ideas. Moreover, the use of fuzzy sets as `primitives' has promise to reduce the computational complexity of real-time approximate multiple hypothesis tracking algorithms.