Approximation of basic probability assignment in dempster-shafer theory based on correlation coefficient.
Yehang ShouXinyang DengXiang LiuHanqing ZhengWen JiangPublished in: FUSION (2017)
Keyphrases
- correlation coefficient
- dempster shafer theory
- belief functions
- fusion algorithm
- combination rule
- root mean square error
- probability theory
- chi square
- standard deviation
- stepwise regression
- root mean squared error
- information gain
- dempster shafer
- conditional probabilities
- information fusion
- probability distribution
- image processing
- artificial intelligence
- machine learning
- neural network
- principal components
- multiscale
- data mining