A Fusion Recognition Method Based on Cloud Model and Evidence Theory

YU Zhifu; LI Junwu; WANG Lihua

doi:10.3724/SP.J.1219.2014.00030

Volume 43 Issue 1

Feb. 2014

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Abstract

INFORMATION AND CONTROL > 2014 > 43(1): 30-36. > DOI: 10.3724/SP.J.1219.2014.00030 CSTR: 32166.14.xk.2014.00030

YU Zhifu, LI Junwu, WANG Lihua. A Fusion Recognition Method Based on Cloud Model and Evidence Theory[J]. INFORMATION AND CONTROL, 2014, 43(1): 30-36. DOI: 10.3724/SP.J.1219.2014.00030

Citation:

YU Zhifu, LI Junwu, WANG Lihua. A Fusion Recognition Method Based on Cloud Model and Evidence Theory[J]. INFORMATION AND CONTROL, 2014, 43(1): 30-36. DOI: 10.3724/SP.J.1219.2014.00030

Citation:

YU Zhifu, LI Junwu, WANG Lihua. A Fusion Recognition Method Based on Cloud Model and Evidence Theory[J]. INFORMATION AND CONTROL, 2014, 43(1): 30-36. DOI: 10.3724/SP.J.1219.2014.00030

A Fusion Recognition Method Based on Cloud Model and Evidence Theory

Electronic Engineering Institute, Hefei 230037, China

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Received Date: October 14, 2012
Revised Date: October 05, 2013
Published Date: February 19, 2014

Graphical Abstract

Abstract

Abstract

Motivated by the problem that the characteristic of target parameters with different data types is not easy to identify, a type of target characteristic parameter modeling and fusion recognition method is proposed based on a cloud model and the D-S evidence theory. First, to obtain the membership, digital and semantic data are combined by a cloud model in this method. Then, the membership is transferred to the basic probability assignment, and decision information is derived using the evidence theory. Finally, simulation experiment is conducted to prove the effectiveness of the proposed method. The simulation results show that the method can process both single-or single-interval value parameters as well as multiple-or multiple-interval-value parameters.
- information fusion,
- cloud model,
- D-S evidence theory,
- emitter recognition

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