Object Classification Via Transferable Belief Model: Case-Based Approach Aktarilabilir Inanc Modeli Araciligiyla Nesne Siniflandirma: Duruma Ozgu Yaklasim

Aribas K. M. , VURAL C. , Altun M.

28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Turkey, 5 - 07 October 2020 identifier


© 2020 IEEE.In this study, a belief function theory based supervised classifier that is able to determine the class of a ship automatically is developed. Transferable belief model is used to model the uncertainty and impreciseness about the measurements obtained from sensors. The case-based classifier developed in the context of the transferable belief model is realized and its accuracy is measured on an artificial database.