[1]HUANG Xin-han,LI Peng,WANG Min.General evidence reasoning fusion structure[J].CAAI Transactions on Intelligent Systems,2010,5(6):487-491.
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General evidence reasoning fusion structure

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 6 Page number: 487-491 Column: 学术论文—人工智能基础 Public date: 2010-12-25
Title:
General evidence reasoning fusion structure
Author(s):
HUANG Xin-han;  LI Peng;  WANG Min
Dept. of Control Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Keywords:
evidence reasoning;  fusion frame;  map building;  information fusion
CLC:
TP242.6
DOI:
-
Abstract:
In order to solve the problem of the DempsterShafer theory (DST) and DezertSmarandache theory (DSmT) both being unable to deal with uncertain information, the uncertainty mass in the frame was defined and two kinds of adaptive universal proportional redistribution rules (AUPR) were proposed. Next, a general evidence reasoning fusion structure was proposed based on the general evidence with which the reasoning machine was built. Lastly, the pioneer 2DXe mobile robot was used to build the belief distribution maps of various environments. The experimental results verify the validity and the practicality of the proposed methods. They also supply powerful theoretical evidence for constructing a uniform information fusion frame.
References:
［1］SHAFER G. A mathematical theory of evidence［M］. Princeton, USA: Princeton University Press, 1976： 1100.
［2］DEZERT J. Foundations for a new theory of plausible and paradoxical reasoning［J］. Information and Security, 2002, 9: 1357.
［3］SMARANDACHE F, DEZERT J. Advances and applications of DSmT for information fusion［M］. Rehoboth, USA: American Research Press, 2004: 331.
［4］SMARANDACHE F, DEZERT J. Advances and applications of DSmT for information fusion［M］. Rehoboth, USA: American Research Press, 2006: 4749.
［5］SMARANDACHE F, DEZERT J. Advances and applications of DSmT for information fusion［M］. Rehoboth, USA: American Research Press, 2009： 137160.
［6］HUANG Xinhan, LI Peng, WANG Min. Evidence reasoning machine based on DSmT for mobile robot mapping in unknown dynamic environment［C］//2009 IEEE International Conference on Robotics and Biomimetics. Guilin, China: 2009： 753758.
［7］李鹏, 黄心汉, 王敏. 基于混合DSm模型的移动机器人动态环境地图构建［J］. 机器人, 2009, 31(1): 4046, 52.
?LI Peng, HUANG Xinhan, WANG Min. HybridDSmmodelbased mobile robot map building in dynamic environment［J］. Robotics, 2009, 31(1): 4046, 52.
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