A Deep Fusion Method Based on Rough Sets and Evidence Theory for Local Conflict Evidence Synthesis

doi:10.3969/j.issn.1000-1093.2019.12.022

Abstract

Abstract: A local conflict allocation evidence combination rule based on rough sets theory is proposed to reduce the computational complexity and improve the efficiency in conflict evidence combination. In this proposed method, the information system which is consisted of several evidences is reduced by rough sets, and the confidence of belief function is calculated based on the confidence of evidence and single focal elements individually. At last an example is given to prove the efficiency of this proposed method.Key

Key words: roughset, evidencetheory, datafusion, datamining, conflictevidencesynthesis, informationsystem

CLC Number:

N945.25

NI Longqiang, ZHANG Lihua, YAO Xintao, HU Gaoge, LIU Penghui. A Deep Fusion Method Based on Rough Sets and Evidence Theory for Local Conflict Evidence Synthesis[J]. Acta Armamentarii, 2019, 40(12): 2560-2569.

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第40卷
第12期2019 年12月兵工学报ACTA
ARMAMENTARIIVol.40No.12Dec.2019

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