Features Fusion Using Belief Functions Theory for ARDS Prediction

2019 ◽  
Vol 7 (4) ◽  
pp. 107-112
Author(s):  
Aline Taoum ◽  
◽  
Farah Mourad-Chehade ◽  
Hassan Amoud ◽  
◽  
...  
Keyword(s):  
Belief Functions ◽  
Features Fusion

Color Perception Algorithm of Medical Images Using Multi-features Fusion

2018 ◽  
Vol 30 (3) ◽  
pp. 375
Author(s):  
Xianhua Zeng ◽  
Aozhu Chen ◽  
Shanshan He
Keyword(s):  
Medical Images ◽  
Color Perception ◽  
Features Fusion

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.

Fuzzy inference systems based on multi-type features fusion for intra-hour solar irradiance forecasts

2021 ◽  
Vol 45 ◽  
pp. 101061
Author(s):  
Xin Zhao ◽  
Liping Xie ◽  
Haikun Wei ◽  
Hai Wang ◽  
Kanjian Zhang
Keyword(s):  
Solar Irradiance ◽  
Fuzzy Inference ◽  
Fuzzy Inference Systems ◽  
Features Fusion ◽  
Inference Systems

scholarly journals A tongue features fusion approach to predicting prediabetes and diabetes with machine learning

2021 ◽  
Vol 115 ◽  
pp. 103693
Author(s):  
Jun Li ◽  
Pei Yuan ◽  
Xiaojuan Hu ◽  
Jingbin Huang ◽  
Longtao Cui ◽  
...  
Keyword(s):  
Machine Learning ◽  
Features Fusion ◽  
Fusion Approach

Econometric Forecasting Using Linear Regression and Belief Functions

2014 ◽  
pp. 304-312 ◽  
Author(s):  
Orakanya Kanjanatarakul ◽  
Philai Lertpongpiroon ◽  
Sombat Singkharat ◽  
Songsak Sriboonchitta
Keyword(s):  
Linear Regression ◽  
Belief Functions
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