Systematic Analysis on the DSmT Combination Rule Performance in Different DSm Model

Li, Hongfei; Jin, Haoran; Tian, Kangsheng; Jiang-qiao, Lan

doi:10.4156/aiss.vol4.issue10.31

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Parameter Selection and Rule Selection1

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2014

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“…Rule selection is in accordance with the database of combination rule properties. Main functions use combination properties, temporal properties, and engineering usable properties [25] to evalue combination rules and set up the database. However the nal decision of rule selection is also made by the user.…”

Section: Parameter Selection and Rule Selectionmentioning

confidence: 99%

Evidence fusion procedure based on hybrid DSm model

Li¹,

Jin²,

Tian³

2014

J. of Syst. Eng. Electron.

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Dezert-Smarandache (DSm) theory, a new information fusion theory, is widely applied in image processing, multiple targets tracking identi cation, and other areas for its excellent processing ability of imperfect information. However, earlier research on DSm theory mainly focused on one sort of questions. An evidence fusion procedure is proposed based on the hybrid DSm model to compensate for a lack of research on the entire information procedure of DSm theory. This paper analyzes the evidence fusion procedure, as well as correlative node input and output information. Key steps and detailed procedures of evidence fusion are also discussed. Finally, an experiment illustrates the ef ciency of the proposed evidence fusion procedure.

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Section: Parameter Selection and Rule Selectionmentioning

confidence: 99%