A novel confidence-based parallel multiple expert decision combination framework is introduced. The traditional approaches to parallel multiple source decision fusion either take ...
A novel framework based on Bayes-based confidence measure for Multiple Classifier System fusion is proposed. Compared with ordinary Bayesian fusion, the presented approach leads t...
In this paper a holistic method and a local method based on decision template ensemble are investigated. In addition by combining both methods, a new hybrid method for boosting the...
Mohammad Sajjad Ghaemi, Saeed Masoudnia, Reza Ebra...
The problem of merging multiple sources information is central in many information processing areas such as databases integration problems, multiple criteria decision making, exper...
Salem Benferhat, Didier Dubois, Souhila Kaci, Henr...