scholarly journals k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework

2016 ◽  
pp. 105-112 ◽  
Author(s):  
Orakanya Kanjanatarakul ◽  
Songsak Sriboonchitta ◽  
Thierry Denœux
Keyword(s):  
Belief Function ◽  
Dissimilarity Data

Extended two-dimensional belief function based on divergence measurement

2020 ◽  
pp. 1-8
Author(s):  
Jianping Fan ◽  
Jing Wang ◽  
Meiqin Wu
Keyword(s):  
Belief Function ◽  
Distribution Functions ◽  
Divergence Measure ◽  
Uncertain Information ◽  
Belief Functions ◽  
Two Dimensional ◽  
Probability Distribution Functions ◽  
Basic Probability ◽  
The Difference ◽  
Supporting Degree

The two-dimensional belief function (TDBF = (mA, mB)) uses a pair of ordered basic probability distribution functions to describe and process uncertain information. Among them, mB includes support degree, non-support degree and reliability unmeasured degree of mA. So it is more abundant and reasonable than the traditional discount coefficient and expresses the evaluation value of experts. However, only considering that the expert’s assessment is single and one-sided, we also need to consider the influence between the belief function itself. The difference in belief function can measure the difference between two belief functions, based on which the supporting degree, non-supporting degree and unmeasured degree of reliability of the evidence are calculated. Based on the divergence measure of belief function, this paper proposes an extended two-dimensional belief function, which can solve some evidence conflict problems and is more objective and better solve a class of problems that TDBF cannot handle. Finally, numerical examples illustrate its effectiveness and rationality.

scholarly journals Conflict management based on belief function entropy in sensor fusion

SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Kaijuan Yuan ◽  
Fuyuan Xiao ◽  
Liguo Fei ◽  
Bingyi Kang ◽  
Yong Deng
Keyword(s):  
Conflict Management ◽  
Sensor Fusion ◽  
Belief Function

PoClustering: Lossless Clustering of Dissimilarity Data

2007 ◽  
Author(s):  
Jinze Liu ◽  
Qi Zhang ◽  
Wei Wang ◽  
Leonard McMillan ◽  
Jan Prins
Keyword(s):  
Dissimilarity Data

scholarly journals Dissimilarity Metric Learning in the Belief Function Framework

2016 ◽  
Vol 24 (6) ◽  
pp. 1555-1564 ◽  
Author(s):  
Chunfeng Lian ◽  
Su Ruan ◽  
Thierry Denoux
Keyword(s):  
Metric Learning ◽  
Belief Function

Fusion of one-class classifiers in the belief function framework

2007 ◽  
Author(s):  
Astride Aregui ◽  
Thierry Denoeux
Keyword(s):  
Belief Function

scholarly journals Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation

2016 ◽  
Vol 22 (9) ◽  
pp. 2200-2213 ◽  
Author(s):  
Quirijn W. Bouts ◽  
Tim Dwyer ◽  
Jason Dykes ◽  
Bettina Speckmann ◽  
Sarah Goodwin ◽  
...  
Keyword(s):  
Dissimilarity Data ◽  
Visual Encoding
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