D-S Algorithm Based on SCO for Matching Fragments
2013 ◽
Vol 411-414
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pp. 1876-1879
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Keyword(s):
The Dempster-Shafer (D-S) evidence theory is an effective method for uncertain information fusion. Because multiple evidences from different sources of different importance or reliability in the reassembling fractured 3D objects are not equally important when they are combined. This paper presents a social cognitive optimization algorithm (SCO) to generate optimal evidence weight values based on historical training data. In the algorithm, a constrained nonlinear optimized model is established, which is solved by SCO. Compared with the two methods, optimization weight D-S proves more effective than the traditional D-S.
Keyword(s):
2019 ◽
Vol 15
(1)
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pp. 155014771882052
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2013 ◽
Vol 427-429
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pp. 2580-2583
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Keyword(s):