Abstract
In this paper, we proposed a modified D-S decision-making approach. Firstly, the definition of drop-falling distance was given and the drop-falling 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.
This research is funded in part by National Hi-tech Research and Development Program of China under No.2007AAXX27.
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Liang, X., Feng, J., Liu, A. (2010). A Modified D-S Decision-Making Algorithm for Multi-sensor Target Identification. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_45
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DOI: https://doi.org/10.1007/978-3-642-13498-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13497-5
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