An Evidence Clustering Dsmt Approximate Reasoning Method Based On Convex Functions Analysis - Info and Reading Options
By Qiang Guo, You He, Xin Guan, Li Deng, Lina Pan and Tao Jian
“An Evidence Clustering Dsmt Approximate Reasoning Method Based On Convex Functions Analysis” Metadata:
- Title: ➤ An Evidence Clustering Dsmt Approximate Reasoning Method Based On Convex Functions Analysis
- Authors: ➤ Qiang GuoYou HeXin GuanLi DengLina PanTao Jian
Edition Identifiers:
- Internet Archive ID: ➤ AnEvidenceClusteringDSmTApproximate
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"An Evidence Clustering Dsmt Approximate Reasoning Method Based On Convex Functions Analysis" Description:
The Internet Archive:
The computational complexity of Dezert–Smarandache Theory (DSmT) increases exponentially with the linear increment of element number in the discernment frame, and it limits the wide applications and development of DSmT. In order to efficiently reduce the computational complexity and remain high accuracy, a new Evidence Clustering DSmT Approximate Reasoning Method for two sources of information is proposed based on convex function analysis. This new method consists of three steps. First, the belief masses of focal elements in each evidence are clustered by the Evidence Clustering method. Second, the un-normalized approximate fusion results are obtained using the DSmT approximate convex function formula, which is acquired based on the mathematical analysis of Proportional Conflict Redistribution 5 (PCR5) rule in DSmT. Finally, the normalization step is applied. The computational complexity of this new method increases linearly rather than exponentially with the linear growth of the elements. The simulations show that the approximate fusion results of the new method have higher Euclidean similarity to the exact fusion results of PCR5 based information fusion rule in DSmT framework (DSmT+PCR5), and it requires lower computational complexity as well than the existing approximate methods, especially for the case of large data and complex fusion problems with big number of focal elements.
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"An Evidence Clustering Dsmt Approximate Reasoning Method Based On Convex Functions Analysis" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 26.12 Mbs, and the file-s went public at Mon Oct 11 2021.
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- Internet Archive Link: Archive.org page
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- Number of Files: 25
- Number of Available Files: 25
- Added Date: 2021-10-11 20:38:20
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