A Modified D-S Decision-Making Algorithm for Multi-sensor Target Identification
نویسندگان
چکیده
In this paper, we proposed a modified D-S decision-making approach. Firstly, the definition of drop-falling distance was given and the dropfalling similarity was derived, based on which the credence was obtained. Then, the uncertainties were considered since they reflect the reasonableness of possibility distributions. Finally, a binary linear weight function was derived with respect to the credence and uncertainties of evidences. Murphy’s combination rule was used to determine the type of targets. Simulation results show that the proposed approach is more efficient and advantageous in conflict evidence decision-makings compared with presently existing methods.
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